basic life research scientist (1 year fixed term) Jobs in California

basic life research scientist (1 year fixed term)

basic life research scientist (3 year fixed term) Jobs in California

basic life research scientist (3 year fixed term)

bioinformatician/research data analyst 1 Jobs in California

bioinformatician/research data analyst 1

bioinformatics engineer ii (18 month fixed-term) (hybrid opportunity) Jobs in California

bioinformatics engineer ii (18 month fixed-term) (hybrid opportunity)

data analyst 1 (1 year fixed term) Jobs in California

data analyst 1 (1 year fixed term)

machine learning research scientist 1 year fixed term

Stanford University

The Enigma Project (enigmaproject.ai) is a research organization based in the Department of Ophthalmology at Stanford University School of Medicine dedicated to understanding the computational principles of natural intelligence using the tools of artificial intelligence. Leveraging recent advances in neurotechnology and machine learning, this project aims to create a foundation model of the brain, capturing the relationship between perception, cognition, behavior, and the activity dynamics of the brain. This ambitious initiative promises to offer unprecedented insights into the algorithms of the brain while serving as a key resource for aligning artificial intelligence models with human-like neural representations.As part of this project, we seek exceptional individuals with extensive experience building, using, and fine-tuning large-scale multimodal foundation models. The team will be responsible for training frontier multi-modal models on large-scale data of neuronal recordings that relate sensory input to neuronal correlates of perception, action, cognition, and intelligence. We expect the candidate to have expertise in modern deep learning libraries (preferably PyTorch) and recent developments in multimodal foundation models. This position promises a vibrant atmosphere at Stanford University in a collaborative community renowned for expertise in computational neuroscience and deep learning. Role & Responsibilities:<ul><li>Design and implement large-scale multimodal deep learning architectures that relate sensory inputs to neuronal correlates of perception, action, and cognition</li><li>Develop novel computational approaches for training and optimizing frontier models on unprecedented amounts of neural data</li><li>Provide technical leadership in distributed training systems and model optimization techniques</li><li>Guide cross-functional teams in establishing technical frameworks and evaluation metrics for brain foundation models</li><li>Communicate research findings through publications, presentations, workshops and research blogs</li><li>Stay ahead of the latest developments in machine learning and neuroscience, and propose innovative solutions to advance the project's goals</li><li> - Other duties may also be assigned</li></ul>What we offer:<ul><li>A rich environment in which to pursue fundamental research questions in AI and neuroscience</li><li>A dynamic team of engineers and scientists in a project dedicated to one mission, rooted in academia but inspired by science in industry.</li><li>Access to unique datasets spanning artificial and biological neural networks</li><li>State-of-the-art computing infrastructure</li><li>Competitive salary and benefits package</li><li>Collaborative environment at the intersection of multiple disciplines</li><li>Location at Stanford University with access to its world-class research community</li><li>Strong mentoring in career development</li></ul> Application: In addition to applying to the position, please send your CV and one page interest statement to: The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory for all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Desired Qualifications:<ul><li>Ph.D. in Computer Science, Machine Learning, Computational Neuroscience, or related field plus 2+ years post-Ph.D. research experience</li><li>At least 2+ years of practical experience in training, fine-tuning, and using multi-modal deep learning models</li><li>Strong publication record in top-tier machine learning conferences and journals, particularly in areas related to multi-modal modeling</li><li>Strong programming skills in Python and deep learning frameworks</li><li>Demonstrated ability to lead research projects and mentor others</li><li>Ability to work effectively in a collaborative, multidisciplinary environment</li></ul>Preferred Qualifications:<ul><li>Background in theoretical neuroscience or computational neuroscience</li><li>Experience in processing and analyzing large-scale, high-dimensional data of different sources</li><li>Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and their machine learning services</li><li>Familiarity with big data and MLOps platforms (e.g. MLflow, Weights & Biases)</li><li>Familiarity with training, fine tuning, and quantization of LLMs or multimodal models using common techniques and frameworks (LoRA, PEFT, AWQ, GPTQ, or similar)</li><li>Experience with large-scale distributed model training frameworks (e.g. Ray, DeepSpeed, HF Accelerate, FSDP)</li></ul> EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree and five years of relevant experience, or combination of education and relevant experience. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):<ul><li>Expert knowledge of the principles of engineering and related natural sciences.</li><li>Demonstrated project leadership experience.</li><li>Demonstrated experience leading and/or managing technical professionals.</li></ul>CERTIFICATIONS & LICENSES: None PHYSICAL REQUIREMENTS :<ul><li>Frequently grasp lightly/fine manipulation, perform desk-based computer tasks, lift/carry/push/pull objects that weigh up to 10 pounds. Occasionally stand/walk, sit, twist/bend/stoop/squat, grasp forcefully.</li><li>Rarely kneel/crawl, climb (ladders, scaffolds, or other), reach/work above shoulders, use a telephone, writing by hand, sort/file paperwork or parts, operate foot and/or hand controls, lift/carry/push/pull objects that weigh >40 pounds.</li><li> - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. </li></ul>WORKING CONDITIONS:<ul><li>May be exposed to high voltage electricity, radiation or electromagnetic fields, lasers, noise > 80dB TWA, Allergens/Biohazards/Chemicals /Asbestos, confined spaces, working at heights 10 feet, temperature extremes, heavy metals, unusual work hours or routine overtime and/or inclement weather.</li><li>May require travel.</li></ul>The expected pay range for this position is $156,560 to $180,039 annually. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website () provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.<img src="https://www.jobg8.com/Tracking.aspx?Uchc6f7e1KElZSGo3DfJ4wUZYe35IgX%2by" width="0" height="0" />

Machine Learning Research Scientist (1 Year Fixed Term)

Stanford Radiation Oncology is committed to fostering a diverse community in which all individuals are welcomed, respected, and supported to achieve their full potential. Our goals are to foster diversity and inclusion in the Department of Radiation Oncology by providing department-level infrastructure for inclusion and serving as a resource for communication of SOM and SHC policies. The job posting will be posted on the PI's website, HERC and also on the lab's social media to advertise to a large number of candidates.The Department of Radiation Oncology mission is to bring the most advanced care to our patients by being at the cutting edge of research and technology. Using the most state-of-the-art imaging systems and radiation delivery platforms in the world, our highly integrated team of physicians, physicists, dosimetrists, nurses, and radiation therapists share a commitment to provide exceptional and compassionate care for patients.The Ross Laboratory at Stanford University is seeking a Basic Life Research Scientist. The Ross Lab is led by Jason Ross, MD, PhD, and is situated within the Stanford University School of Medicine's Department of Radiation Oncology. The laboratory studies normal and malignant stem cells in the context of aging and cancer. The Research Scientist will make original scientific contributions and design and execute projects to investigate normal and malignant stem cells. This position offers the opportunity to work closely with the principal investigator, lab members, and collaborators in an interactive, supportive, and inclusive lab environment.The Research Scientist will be responsible for leading scientific projects, including design and execution of experiments, and analysis and presentation of data. In addition, the individual will assist other laboratory members with the design and execution of their experiments and will work alongside the PI to serve as a mentor to junior lab members. The individual will also participate in the training and development of students and post-doctoral fellows. The individual will ensure the efficient operations of the lab, including maximizing the budget, ensuring appropriate care of major equipment, and addressing regulatory and administrative requirements. The Research Scientist will write scientific sections of grant applications and progress reports. The individual will report to and work closely with the PI in these activities and responsibilities.This position is for a 1 year fixed-term, with the possibility of renewal based on funding, performance, and operational needs.Core duties include and responsibilities include :<ul><li>Molecular cloning.</li><li>RNA purification.</li><li>RNA sequencing.</li><li>Cell culture.</li><li>Mouse handling.</li><li>Flow-cytometry analysis and sorting.</li><li>Microscopy, protocol optimization.</li><li>Novel assay development.</li><li>Attendance at weekly lab meetings.</li><li>Participation in the training of postdoctoral fellows, graduate students, and research assistants.</li><li>To contribute to multiple projects and to make scientific and written contributions to progress reports, grant applications, and manuscripts.</li><li>To oversee operations of the lab, including an efficient budget, appropriate care of equipment, and maintaining regulatory and administrative requirements.</li></ul> Other duties may also be assigned. Qualifications (REQUIRED):<ul><li>Ph.D. in stem cell biology, cancer biology, immunology, or related field.</li><li>Post-doctoral experience is preferred in stem cell biology, cancer biology, immunology, or related field is desired.</li><li>Extensive experience with molecular biology, mouse handling and procedures, flow-cytometry analysis and cell sorting, mammalian cell culture, RNA-sequencing, and microscopy.</li><li>Experience in genetic manipulation of cells (e.g., CRISPR) is desired.</li><li>Additional experience in computational biology is welcome.</li><li>Ability to independently design and troubleshoot experiments.</li><li>Excellent communication and organization skills.</li><li>Ability to work both independently and collaboratively.</li><li>Working knowledge of Microsoft Office, Adobe Illustrator, GraphPad Prism, R, and other.</li></ul>The expected pay range for this position is $74,000 to $86,000 per annum. Stanford University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including equivalent years since their applicable education, field or discipline; departmental budget availability; internal equity; among other factors.At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website () provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford welcomes applications from all who would bring additional dimensions to the University's research mission.The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.<img src="https://www.jobg8.com/Tracking.aspx?%2f%2bszOVVEyprum1n3d0J02akc0Zs%2b065Fe" width="0" height="0" />

Basic Life Research Scientist (1 Year Fixed Term)

Stanford University is seeking a Big Data Architect 1 for a 1 year fixed term (possibility of renewal) to design and develop applications, test and build automation tools and support the development of Big Data architecture and analytical solutions.About Us: The Department of Biomedical Data Science merges the disciplines of biomedical informatics, biostatistics, computer science and advances in AI. The intersection of these disciplines is applied to precision health, leveraging data across the entire medical spectrum, including molecular, tissue, medical imaging, EHR, biosensory and population data.About the Position: We are seeking an experienced ML Data Engineer to drive the programmatic curation, cleaning, and generation of healthcare data. In this role, you will focus exclusively on developing and maintaining automated, ML-accelerated pipelines that ensure high-quality data ready for machine learning applications. Your work will be pivotal in shaping the integrity of our data and supporting downstream predictive models in a complex healthcare environment. You Will Find This Position a Good Fit If: You are passionate about transforming raw healthcare data into valuable insights. You believe in the critical role of robust data curation in advancing machine learning in healthcare. You thrive in environments where you can work independently on complex data challenges while collaborating with multidisciplinary teams. You are excited to work with patient-level data and embrace challenges related to data diversity and complexity. Duties include: Design Big Data systems that are scalable, optimized and fault-tolerant. Work closely with scientific staff, IT professional and project managers to understand their data requirements for existing and future projects involving Big Data. Develop, test, implement, and maintain database management applications. Optimize and tune the system, perform software review and maintenance to ensure that data design elements are reusable, repeatable and robust. Contribute to the development of guidelines, standards, and processes to ensure data quality, integrity and security of systems and data appropriate to risk. Participate in and/or contribute to setting strategy and standards through data architecture and implementation, leveraging Big Data, analytics tools and technologies. Work with IT and data owners to understand the types of data collected in various databases and data warehouses. Research and suggest new toolsets/methods to improve data ingestion, storage, and data access. Key Responsibilities: Data Pipeline Engineering: Design, implement, and maintain robust pipelines for the programmatic cleaning, transformation, and curation of healthcare data. Develop automated processes to curate and validate data, ensuring accuracy and compliance with healthcare standards (e.g. OMOP CDM, FHIR). ML Data Engineering: Leverage core machine learning techniques to generate datasets, clean existing health records, join heterogeneous data sources, and enhance data quality for model training. Implement innovative solutions to detect and correct data inconsistencies and anomalies in large-scale healthcare datasets. Healthcare Data Expertise: Work extensively with patient-level health data, ensuring that data handling practices adhere to industry regulations and ethical standards. Utilize the OMOP Common Data Model (OMOP CDM) to standardize and harmonize disparate healthcare data sources, enhancing interoperability and scalability. Collaboration & Continuous Improvement: Collaborate closely with data scientists, clinical informaticians, and engineers to align data engineering practices with analytical and clinical requirements. Continuously monitor, troubleshoot, and optimize data workflows to support dynamic research and operational needs.The expected pay range for this position is $157,945 to $177,385 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website () provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at . For all other inquiries, please submit a contact form. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford welcomes applications from all who would bring additional dimensions to the University's research mission. DESIRED QUALIFICATIONS: 3+ years of experience in software development and data engineering with a strong focus on data cleaning, transformation, and creation. Proficiency in Python and experience with data processing libraries (e.g., Pandas, Polars, NumPy). Hands-on experience in building and maintaining automated data pipelines for large-scale data processing. Familiarity with machine learning frameworks (e.g., PyTorch, JAX, scikit-learn) as applied to data quality and augmentation tasks. Expertise in working with healthcare data, including familiarity with the OMOP Common Data Model (OMOP CDM). Strong experience in a Linux environment and comfort with UNIX command-line tools. Proven ability to work collaboratively in multidisciplinary teams and communicate technical concepts effectively. PREFERRED QUALIFICATIONS: Experience with cloud platforms (e.g., GCP, AWS, or Azure) and distributed computing frameworks. Proficiency with version control systems (e.g., Git) and containerization tools (e.g., Docker). Familiarity with healthcare data standards and regulatory requirements. EDUCATION & EXPERIENCE (REQUIRED):Bachelor's degree in scientific or analytic field and five years of relevant experience, or a combination of education and relevant experience.KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): • Knowledge of key data structures algorithms, and techniques pertinent to systems that support high volume, velocity, or variety datasets (including data mining, machine learning, NLP, data retrieval). • Experience with relational, NoSQL, or NewSQL database systems and data modeling, structured and unstructured. • Experience in parallel and distributed data processing techniques and platforms (MPI, Map/Reduce, Batch). • Experience in scripting languages and experience in debugging them, experience with high performance/systems languages and techniques. • Knowledge of benchmark software development and programmable fields/systems, ability to analyze systems and data pipelines and propose solutions that leverage emerging technologies. • Ability to use and integrate security controls for web applications, mobile platforms, and backend systems. • Experience deploying reliable data systems and data quality management. • Ability to research, evaluate, architect, and deploy new tools, frameworks, and patterns to build scalable Big Data platforms. • Ability to document use cases, solutions and recommendations. • Demonstrated excellence in written and verbal communication skills.CERTIFICATIONS & LICENSES:NonePHYSICAL REQUIREMENTS :• Frequently sit, grasp lightly, use fine manipulation and perform desk-based computer tasks, lift, carry, push pull objects that weigh to ten pounds. • Occasionally sit, use a telephone or write by hand. • Rarely kneel, crawl, climb, twist, bend, stoop, squat, reach or work above shoulders, sort, file paperwork or parts, operate foot and hand controls. - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.<img src="https://www.jobg8.com/Tracking.aspx?qn2dWMJXE5OUYhjpmgXExjIqwGbtR5Eaq" width="0" height="0" />

ML Data Engineer - Healthcare Data Curation & Cleaning (1 Year Fixed Term)

Stanford University, the Personalized Integrative Medicine Laboratory in the Radiology Department ( ) and the Urologic Cancer Innovation Laboratory ( ) is seeking a creative, highly motivated, Research and Development Scientist and Engineer 1 with an interest in developing platforms that integrate and deploy multimodal machine learning methods in clinical applications. The project is focused on developing a software platform to deploy our existing ultrasound-MRI models for prostate cancer detection in clinical practices. The position requires managing complex multi-modal data sets including clinical assessments, laboratory results, radiological images and pathological findings, to develop a user-friendly software that will encompass existing approaches and allows for easy integration of new models. The successful candidate will join the Department of Radiology at Stanford University and will work with a multi-disciplinary team of clinicians, statisticians, computer scientists, and trainees. This position is available immediately and has a 1-year duration, with possibility of extension based on funding availability and mutual agreement. Duties include : <ul><li> Design and develop specialized software and tools; coordinate detailed phases of work related to responsibility for part of a major project. </li><li> Develop technical and methodological solutions to complex engineering/scientific problems requiring independent analytical thinking and advanced knowledge. </li><li> Develop creative new or improved equipment, materials, technologies, processes, methods, or software important to the advancement of the field. </li><li> Contribute technical expertise, and perform basic research and development in support of programs/projects; act as advisor/consultant in area of specialty. </li><li> Optional: Contribute to portions of published articles or presentations; prepare and write reports; draft and prepare scientific papers. </li><li> Provide technical directions to other research staff, engineering associates, technicians, and/or students, as needed. </li></ul> - Other duties may also be assigned. DESIRED QUALIFICATIONS: <ul><li> Candidates should have prior experience in software and platform development and C++/python/docker/UIX programming, and be familiar with toolkits, e.g., ITK, opencv, sklearn. </li><li> Candidate should have prior experience with Designing User Interfaces, including image visualization and connect platforms with docker containers. </li><li> Candidates with experience in radiomics, segmentation, image registration are strongly encouraged to apply. </li><li> Candidates should have demonstrated ability to work independently, attention to details, be dedicated and self-motivated. </li><li> Collaborative team spirit, strong communication skills, positive attitude and adherence to highest ethical principles are necessary to be considered. </li><li> The candidate should have knowledge and experience in machine learning and deep learning, visualization, platform implementation. </li><li> The preferred candidate would also have experience with medical image processing, and traditional signal processing techniques. </li></ul> EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree and three years of relevant experience, or combination of education and relevant experience. Preferred candidates will have an M.S. with relevant experience or Ph.D. in Biomedical Engineering, Electrical Engineering, Biomedical Informatics, Computer Science or related fields. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): <ul><li> Thorough knowledge of the principles of engineering and related natural sciences. </li><li> Demonstrated project management experience. </li></ul> PHYSICAL REQUIREMENTS : <ul><li> Frequently grasp lightly/fine manipulation, perform desk-based computer tasks, lift/carry/push/pull objects that weigh up to 10 pounds. </li><li> Occasionally stand/walk, sit, twist/bend/stoop/squat, grasp forcefully. </li><li> Rarely kneel/crawl, climb (ladders, scaffolds, or other), reach/work above shoulders, use a telephone, writing by hand, sort/file paperwork or parts, operate foot and/or hand controls, lift/carry/push/pull objects that weigh > 40 pounds. </li></ul> - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: <ul><li> May be exposed to high voltage electricity, radiation or electromagnetic fields, lasers, noise > 80dB TWA, Allergens/Biohazards/Chemicals /Asbestos, confined spaces, working at heights of 10 feet, temperature extremes, heavy metals, unusual work hours or routine overtime and/or inclement weather. </li><li> May require travel. </li></ul> WORK STANDARDS: <ul><li> Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. </li><li> Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. </li><li> Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . </li></ul> The expected pay range for this position is $127,211 to $154,222 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. <img src="https://www.jobg8.com/Tracking.aspx?1%2fwdEqK%2fok1FOvth%2bDDf9bKIlNxjAjKga" width="0" height="0" />

Research and Development Scientist and Engineer (1 Year Fixed-Term)

The Pritchard lab in the Genetics Department at Stanford University is seeking a Staff Scientist (Software Developer 2) to conceptualize, develop, supervise, and implement novel computational approaches for genomics. The successful applicant must have experience in the main areas of application - functional or single cell genomics and/or statistical genetics as well as strong experience in modern computational statistics and machine learning. This position will be on-site. The successful applicant will have broad responsibility for providing technical direction on multiple projects conducted by the lab as well as leading projects of their own. They will contribute to all phases of project development including conceptualization, design and implementation of algorithms, computational analysis of genomic and other omics data, simulations and testing of code, and preparation of scientific manuscripts and revisions. Strong communication skills (speaking and writing) are essential. The work will require innovative programming and analysis skills with an emphasis on algorithmic development for machine learning and/or statistical computing. Mentoring trainees on technical aspects of their project will be an essential part of this job. Duties include:<ul><li>Propose, conceptualize, design, implement, and develop solutions for difficult and complex applications independently.</li><li>Supervise and mentor PhD students and postdocs, as necessary, working on all phases of research projects.</li><li>Engage in long-term strategic planning.</li><li>Troubleshoot and resolve complex technical problems.</li><li>Lead projects, as necessary, for special systems and application development in areas of complex problems.</li><li>Contribute to manuscript preparation and revisions as lead- or co-author.</li><li>Contribute to grant preparation.</li><li>Participate in scientific meetings and journal clubs.</li></ul> - Other duties may also be assigned. DESIRED QUALIFICATIONS:The successful candidate must have a proven track record of developing state-of-the-art computational methods for data analysis, going all the way from conceptualization and theoretical development to implementation, testing, data analysis, and manuscript preparation. They must have outstanding technical skills in machine learning and/or statistical methods with experience in developing new approaches.They must have training and research experience (preferably at postdoctoral level) in at least one of the following areas of application: functional genomics, single cell genomics, statistical genetics. EDUCATION & EXPERIENCE (REQUIRED):Bachelor's degree and five years of relevant experience, or a combination of education and relevant experience. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):<ul><li>Expertise in designing, developing, testing, and deploying applications.</li><li>Proficiency with application design and data modeling.</li><li>Ability to define and solve logical problems for highly technical applications.</li><li>Effective communication skills with both technical and non-technical clients.</li><li>Ability to lead activities on structured team development projects.</li><li>Ability to select, adapt, and effectively use a variety of programming methods.</li><li>Knowledge of application domain. </li></ul> CERTIFICATIONS & LICENSES:None. PHYSICAL REQUIREMENTS :<ul><li>Constantly perform desk-based computer tasks.</li><li>Frequently sit, grasp lightly/fine manipulation.</li><li>Occasionally stand/walk, writing by hand.</li><li>Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds. </li></ul> - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS:<ul><li>May work extended hours, evening and weekends.</li><li>The successful candidate will work in-person daily on the Stanford University campus.</li></ul> The expected pay range for this position is $131,992 to $160,555 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website () provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. WORK STANDARDS (from JDL):<ul><li>Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.</li><li>Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.</li><li>Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, .</li></ul><img src="https://www.jobg8.com/Tracking.aspx?v664xeHPeorlLGbhgGKmuNQFsXi4Yb%2fem" width="0" height="0" />

Staff Scientist

The Division of Primary Care and Population Health seeks to serve our community through caring, learning, and innovation for the whole person through all stages of live. While engaged in practice and teaching, our faculty are dedicated to establishing new knowledge as the basis for future practice and prevention, and to the greatest extent possible applying that knowledge to improve care for all and reduce health disparities.The research scholar will take a leadership role in Pascal Geldsetzer's research group, which is a "dry lab" focused on quantitative analyses of existing, and often publicly accessible, datasets. The group is currently focused on studying the causal effect of shingles vaccination on cognition ( ). In extensions of this work, the group is also interested in the effect of other vaccinations given in old age on dementia as well as the effect of infections on dementia. Key data sources for our projects are electronic health record data, epidemiological cohort studies, mortality data, and other large health-related administrative datasets. The researcher will be expected to publish in high-impact peer-reviewed journals.We are in particular looking for individuals with in-depth experience in econometric/quasi-experimental approaches for causal effect estimation (e.g., regression discontinuity and difference-in-differences). We are looking for someone to start as soon as possible but there is no specific deadline for the application - we hire on an ongoing basis.The initial appointment will be 1-year fixed term. The fixed-term may be renewed for additional years based on business needs.CORE DUTIES:<ul><li>Carrying out data analyses</li><li>Supervising data analyses led by graduate students and postdoctoral fellows</li><li>Writing manuscripts for publication in scientific journals</li><li>Mentoring and advising junior researchers</li><li>Assisting with, and leading the writing of, grant applications for research funding</li><li>Communicating with research funders, data providers, and project administrative staff</li></ul> EDUCATION & EXPERIENCE: • Doctoral degree with quantitative training or research experience. • Training and experience in quasi-experimental techniques (regression discontinuity, difference-in-differences, interrupted time-series, etc.) • A background in health-related research is a plus but not requiredKNOWLEDGE, SKILLS AND ABILITIES:• Strong coding skills in R, Stata, or other statistical software package. • Strong writing and analytical skills. • Ability to prioritize workload.This role is open to candidates anywhere in the United States. Stanford University has five Regional Pay Structures. The compensation for this position will be based on the location of the successful candidate. The expected pay range for this position is $93,000 to $148,000 per annum.Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website () provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.Why Stanford is for YouImagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with:<ul><li>Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak.</li><li>A caring culture. We provide superb retirement plans, generous time-off, and family care resources.</li><li>A healthier you. Climb our rock wall or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits.</li><li>Discovery and fun. Stroll through historic sculptures, trails, and museums.</li><li>Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more.</li></ul> The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form.Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.<img src="https://www.jobg8.com/Tracking.aspx?ANOyqbAIplhxWA3f2rauRKJogh2PM29mo" width="0" height="0" />

Social Science Research Scholar (1-year Fixed Term)

The Department of Genetics at Stanford University is a leading center for genomic research, dedicated to understanding the molecular mechanisms underlying human health and disease. Our department brings together world-class faculty and researchers who develop and employ cutting-edge technologies -from molecular to computational approaches- to tackle fundamental questions in genetics. We foster a collaborative, interdisciplinary environment that bridges basic science with clinical applications, training the next generation of geneticists while pursuing discoveries that translate into improved human health outcomes. Our mission emphasizes scientific excellence, innovation, and the responsible application of genetic knowledge to benefit society. We are committed to building an inclusive scientific community that values the contributions of all our members to our research programs. The Cox laboratory at Stanford University School of Medicine seeks a full-time staff research scientist to accelerate the development of novel technologies for probing protein-RNA interactions at scale. Our laboratory aims to solve the fundamental challenge of predicting protein-RNA complex structures directly from sequence by integrating high-throughput experimental data with machine learning methods. The successful candidate will focus primarily on developing and implementing the experimental technologies that enable these large-scale measurements. More information about the lab can be found at coxlab.bio. In this role, you will perform professional research in support of our scientific mission. You will contribute to developing research goals for the laboratory, work collaboratively with the Lab Head to determine optimal research methods, and independently perform scientific procedures requiring professional judgment. Additional responsibilities include interpreting experimental results, reviewing pertinent literature, and preparing research reports for presentation and publication. What we provide:<ul><li>Basic science research projects with potential for broad and sustained impact on pressing biomedical problems</li><li>Training in cutting-edge experimental and computational methods in molecular biology and biochemistry, including high-throughput sequencing</li><li>A collaborative, inclusive, and supportive research environment</li><li>Opportunities for authorship on research publications</li><li>A team committed to continuous learning and scientific collaboration</li><li>Membership in Stanford's vibrant scientific communities across the Department of Genetics, School of Medicine, and broader university </li></ul>CORE DUTIES:Research & Technical Development:<ul><li>Design, develop, and perform specialized experimental procedures for protein-RNA interaction studies, including high-throughput sequencing-based assays</li><li>Identify methodological challenges in research protocols and implement innovative solutions to optimize experimental outcomes</li><li>Evaluate emerging technologies and lead the integration of new methodologies into laboratory workflows</li><li>Troubleshoot complex experimental systems and maintain laboratory instrumentation</li><li>Organize experimental data</li></ul>Data Analysis & Reporting:<ul><li>Prepare comprehensive research reports, manuscripts, and presentations for scientific meetings and publication</li><li>Collaborate on data visualization and statistical analysis to support research conclusions</li></ul>Laboratory Leadership & Management:<ul><li>Develop and implement short- and long-term research strategies in collaboration with the Lab Head</li><li>Train and mentor junior laboratory members in experimental techniques and data analysis methods</li><li>Oversee laboratory operations including supply management, equipment maintenance, and safety protocols</li><li>Prepare specifications for specialized equipment and coordinate procurement of some research supplies</li></ul> Required Qualifications:<ul><li>Ph.D. in biochemistry, molecular biology, structural biology, genetics, or related field; or equivalent combination of education and experience</li><li>Demonstrated experience with protein purification, nucleic acid biochemistry, and next-generation sequencing technologies</li><li>Strong technical proficiency combined with scientific creativity and collaborative skills</li><li>Ability to work independently while contributing effectively to team-based research goals</li><li>Ability to develop innovative processes to achieve goals. Directs others to develop essential tasks. Reviews work activities to determine where new information could improve processes or move projects forward</li><li>Ability to write and prepare reports or manuscripts for presentation to large audiences.</li><li>Experience mentoring and training junior researchers</li><li>Commitment to fostering an inclusive and collaborative research environment</li></ul> Preferred Qualifications:<ul><li>Experience with biochemical assays for protein-nucleic acid interactions</li><li>Familiarity with computational analysis of next-generation DNA sequencing data</li><li>Prior experience in technology development or method optimization</li><li>Track record of scientific publications in peer-reviewed journals</li></ul>Physical Requirements: Remaining in a normal seated or standing position for extended periods of time; reaching and grasping by extending hand(s) or arm(s); dexterity to manipulate objects with fingers, for example using a keyboard; communication skills using the spoken word; ability to see and hear within normal parameters; ability to move about workspace. The position requires mobility, including the ability to move materials weighing up to several pounds (such as a laptop computer or tablet). Please Note:<ul><li>This job description sets forth the job's principal duties, responsibilities, and requirements; it should not be construed as an exhaustive statement, however.</li><li>Interested applicants should submit a cover letter, current CV, publication list and the contact information for at least 3 references with their application.</li></ul>The expected pay range for this position is $75,000 to $96,000 per annum. Stanford University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including equivalent years since their applicable education, field or discipline; departmental budget availability; internal equity; among other factors. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford welcomes applications from all who would bring additional dimensions to the University's research mission. Stanford University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including equivalent years since their applicable education, field or discipline; departmental budget availability; internal equity; among other factors. <img src="https://www.jobg8.com/Tracking.aspx?xvPwrP8buEywSGnO9VvFP9ntXqRXjWdXr" width="0" height="0" />

Basic Life Research Scientist (3 Year Fixed Term)

Explore 206+ Machine learning research scientist 1 year fixed term in California this October. Find roles across top companies and apply now to boost your career.