staff research scientist

Opendoor

<div><h3 class="jobSectionHeader">About the Role</h3>

We&rsquo;re looking for an experienced Staff / Senior Staff Research Scientist to push the boundaries of applied machine learning and AI at Opendoor. While this role will have a significant impact on our valuation systems &mdash; ensuring we provide the most accurate and transparent pricing possible &mdash; the scope goes well beyond pricing. You&rsquo;ll work across a range of challenging ML problems, from multi-modal modeling to operational optimization, helping us rethink how we use structured and unstructured data to make better decisions for our customers.
<h3 class="jobSectionHeader">
What You'll Need</h3>
<ul>
<li>Strong software engineering and coding skills in Python, with experience contributing to production codebases
</li>
<li>9+ years of experience developing and deploying ML models end-to-end &mdash; from research and prototyping to implementation in production systems
</li>
<li>Hands-on experience with deep learning architectures, including ConvNets, Transformers, or similar
</li>
<li>Advanced degree (MS or PhD) in computer science, statistics, mathematics, or a related quantitative field
</li>
<li>Solid foundation in statistics and experimental design
</li>
<li>Strong communication and collaboration skills &mdash; you&rsquo;re comfortable working with cross-functional stakeholders and can communicate technical ideas clearly
</li>
</ul><h3 class="jobSectionHeader">Nice to Have</h3>
<ul>
<li>Familiarity with Pyspark and distributed data processing
</li>
<li>Background in search, recommendation systems, or personalization
</li>
<li>Experience working with large language models (LLMs) or vision-language models (VLMs)
</li>
<li>A genuine interest in real estate &mdash; no prior experience required, but you'll engage deeply with housing data
</li>
</ul><h3 class="jobSectionHeader">What You'll Do</h3>
<ul>
<li>Design and deploy architectural improvements to our deep neural network (DNN)-based home valuation models
</li>
<li>Build interpretable ML models that can help us explain pricing decisions to customers
</li>
<li>Incorporate unstructured data &mdash; like images, videos, or text &mdash; into our forecasting and valuation pipelines using cutting-edge AI models (LLMs, VLMs, etc.)
</li>
<li>Collaborate with Engineering and Ops to enhance our human-in-the-loop pricing systems
</li>
<li>Improve the feature engineering and model training pipelines that power our production systems
</li>
<li>Rethink our risk and optimization models using real-world data and domain insight
</li>
</ul>We&rsquo;re a small, nimble team &mdash; there&rsquo;s ample opportunity to work across the entire research and modeling stack.
<h3 class="jobSectionHeader">
Compensation</h3>

The base pay range for this position is $238,400 - $327,800 annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees. 

<div><h3 class="jobSectionHeader">About us&hellip;. Powering life&rsquo;s progress, one move at a time</h3>

Since 2014, we&rsquo;ve been reinventing life&rsquo;s most important transaction with a new, simple way to buy and sell a home. The traditional real estate process is broken, and our mission is clear: build a digital, end-to-end experience that makes buying and selling a home simple and certain.

We&rsquo;re a team of problem solvers, innovators, and operators building the largest, most trusted platform for residential real estate. Whether it&rsquo;s starting a family, taking a new job, or making a life change, we help people move forward with confidence.

This work isn&rsquo;t easy, and it&rsquo;s not for everyone. But if you want to be part of a team that&rsquo;s tilting the world in favor of people who want to sell, buy, or own a home then you&rsquo;ll find purpose here.
<h3 class="jobSectionHeader">
Opendoor Values Openness</h3>

We believe that being open about who we are and what we do allows us to be better. Individuals seeking employment at Opendoor are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, gender identity or other protected status under all applicable laws, regulations, and ordinances. We collect, use, and disclose applicant personal information as described in our personnel privacy policies. To learn more, you can find the policy details for California residents here and for Canada residents here.

We are committed to assisting members of the military community in utilizing their skills at Opendoor. U.S. candidates are able to review your military job classification at MyNextMove.org and apply for positions that align with your expertise.

At Opendoor, we are committed to providing reasonable accommodations throughout our recruitment processes for candidates with disabilities, pregnancy, religious beliefs, or other reasons protected by applicable laws. If you require assistance or a reasonable accommodation, please contact us at TAops-accomodations@opendoor.com.</div></div>

Staff / Senior Staff Research Scientist

Intuit

<div><h2 class="jobSectionHeader">Overview</h2><div>
Intuit is hiring a Senior Staff AI Researcher to join the Intuit Research team.</div><div></div><div> 
The mission of the AI Research team is to do cutting edge research in AI topics that directly influence Intuit&rsquo;s portfolio of fintech offerings and position Intuit as a global leader in AI with the goal of powering prosperity around the world. In this role you will be advancing the state of the art in fundamentals of artificial intelligence. We are seeking candidates who are experts in generative AI, fundamentals of deep learning and optimization, and passionate about areas such as neuro-symbolic AI, personalization and recommendation, theory and applications of large language models, and robustness and uncertainty quantification. You will join a high-caliber team of domain experts, data scientists, and machine learning engineers to shape our strategy in this area, and develop advanced capabilities that serve our customers&rsquo; needs, both current and future.</div> 
Responsibilities<ul><li>
Technical leadership in areas of Language Agents, Neuro Symbolic AI, Multimodal and Large Language Models, Natural Language Processing, Deep Learning, and Machine Learning.</li><li>
Pushing boundaries of AI native fintech applications through innovation and partnership.</li><li>
Engaging with the academic and broader research community through publications, presentations, and collaborations.</li><li>
Working towards long-term ambitious research goals that are in alignment with Intuit products, while identifying intermediate milestones</li><li>
Working with a cross-functional team of designers, program managers, researchers, legal experts and more, to create new capabilities for current and future products</li><li>
Mentoring junior researchers and interns through goal setting and technical directions that lead to positive outcomes</li></ul><div></div> 
Qualifications<ul><li>
PhD in Computer Science/Electrical Engineering/Statistics/Applied Mathematics or a related field with focus on AI/ML</li><li>
8+ years of relevant work experience post PhD</li><li>
Past experience leading a research or applied research team</li><li>
Established track record of publication, ideally demonstrated through first author publications in top tier AI conferences ( e.g. NeurIPS, ICML, KDD, ACL, AAAI)</li><li>
10+ years experience in conducting theoretical or applied research with demonstrated capability of defining and driving research projects</li><li>
Past experience in disseminating new technical ideas to the larger scientific community through open sourcing, publications, and presentations</li><li>
Experience with developing and debugging in Python with Tensorflow, Pytorch, or similar frameworks</li><li>
Deep technical expertise in machine learning in general, along with hands-on experience in either deep NLP architectures, neuro-symbolic AI, or robust and/or explainable AI</li><li>
Excited about the future of Money, Payments, FinTech, and the transformation these technologies will drive
</li><li>Strong interpersonal and communication skills in order to effectively communicate and/or collaborate with other team members as well as product technologists and other stakeholders</li><li>
Excellent leadership and communication skills to influence teams and to evangelize research solutions across the company</li></ul> 
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:<div> 
Bay Area California: 222,000 - 300,000</div></div><div></div>

Senior Staff Research Scientist

Stanford University

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)

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)

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 Laboratory of Jesse Engreitz (Dept of Genetics, BASE Initiative) is seeking a Research Scientist in CRISPR Genomics (Life Science Research Professional 3) to lead large-scale data production projects to understand the genetic basis of heart diseases. The Engreitz Laboatory is located in the Biomedical Innovations Building on the main campus at Stanford University and is a member of the BASE Initiative in the Betty Irene Moore Children's Heart Center. Project overview: DNA regulatory elements in the human genome, which harbor thousands of genetic risk variants for common and rare heart diseases and could reveal targets for therapeutics that aim to precisely tune cellular functions - if only we could map the complex regulatory wiring that connects 2 million regulatory elements with 21,000 genes, and genes with thousands of pathways across the diverse cell types in the human body. We have recently developed new approaches that could enable mapping this regulatory wiring at massive scale (see Fulco et al. Science 2016, Fulco et al. Nat Genet 2019, Nasser et al. Nature 2021, Gschwind et al. bioRxiv 2023), and applied these and other approaches to understand the genetic basis of complex diseases (e.g., Schnitzler et al. Nature 2024). We aim to expand these studies to systematically map the functions of variants, enhancers, and genes in many cell types from the heart and vasculature. These studies will ultimately help to uncover biological mechanisms of congenital heart defects, coronary artery disease, and other heart diseases to help to guide diagnosis and therapeutic development. For information and recent work, see and . We are looking for a creative and passionate Research Scientist (PhD-level) to lead the next phase of our efforts to systematically perturb the genome to understand genome function and phenotype. The ideal candidate would lead independent projects, design and supervise large-scale CRISPR data generation projects, manage collaborations between the Engreitz Lab and NIH-led consortia, and play a leading role in writing publications and grants. The Engreitz Lab provides a dynamic, interdisciplinary workplace with unique access to cutting edge technologies and scientific thought, with the potential for widespread recognition of scientific contributions. We value a diversity of values, backgrounds, and approaches to solving problems. The candidate for this position should have hands-on experience in cellular genomics, molecular biology, and technology development; experience with quantitative data analysis and collaborating with interdisciplinary teams; curiosity in research and creativity in problem-solving; strong interpersonal and collaboration skills; experience building or managing teams; outstanding verbal and written communication abilities; ability to adapt to and effectively manage changes in a fast paced and dynamic environment; and have a passion for science and sense of urgency to find new medicines to benefit patients. In addition to submitting your application via the Stanford web portal, please email your CV and cover letter directly to Prof. Jesse Engreitz ( ). This is a 2-Year Fixed-Term position, with extension possible. Duties include: <ul><li> Make fundamental discoveries about gene regulation and the genetics of cardiovascular disease </li><li>T ogether with PI and other lab members, design and execute scientific projects </li><li> Collect comprehensive perturbation datasets to inform genome function and enable training predictive models </li><li>D evelop and apply strategies to study enhancers and genes in human cells and mouse models </li><li>E valuate and recommend new emerging technologies, approaches, and problems </li><li> Supervise, train, and collaborate with other lab members in experimental techniques, scientific design, and other skills </li><li> Design and lead independent projects </li><li> Collaborate with a team of experimentalists and computational biologists </li><li> Create scientifically rigorous visualizations, communications, and presentations of results </li><li> Contribute to generation of protocols, publications, and intellectual property </li></ul> - Other duties may also be assigned. Grade: H FTE: 100% DESIRED QUALIFICATIONS: <ul><li> Ph.D. in Genetics, Biology, Biochemistry, Biophysics, Bioengineering, Developmental Biology, or related life science field is preferred. Highly motivated candidates of all levels are encouraged to apply. </li><li> Expert in genomics, molecular biology, assay development, and high-throughput data generation </li><li> Experience with quantitative data analysis </li><li> Experience with CRISPR targeting ES/iPS cells and/or single-cell technologies a plus </li><li> Experience in multidisciplinary collaborations, management, and/or supervision </li><li> Curiosity in research and creativity in problem-solving </li><li> A great team member with strong interpersonal and collaboration skills </li><li> Outstanding verbal and written communication abilities </li><li> Ability to adapt to and effectively manage changes in a fast paced and dynamic environment </li><li> A passion for science and sense of urgency to find new medicines to benefit patients </li></ul> EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree in related scientific field and four years of relevant work experience; or Master's degree in a related scientific field and two years relevant experience; or PhD in related science field. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): <ul><li> Comprehensive understanding of scientific principles. </li><li> Expert level knowledge and skills in field of science related to research project. </li><li> General computer skills and experience with databases and scientific applications </li><li> Strong analytical skills and excellent judgment. </li><li> Ability to work under deadlines with general guidance is essential. </li><li> Excellent organizational skills and demonstrated ability to complete detailed work accurately. </li><li> Developing project management skills. </li></ul> CERTIFICATIONS & LICENSES: None. PHYSICAL REQUIREMENTS : <ul><li> Frequently stand, walk, twist, bend, stoop, squat, grasp lightly, use fine manipulation, grasp forcefully, perform desk-based computer tasks, use telephone, write by hand, lift, carry, push and pull objects weighing over 40 pounds. </li><li> Occasionally sit, kneel, crawl, reach and work above shoulders, sort and file paperwork or parts. </li><li> Rarely climb, scrub, sweep, mop, chop and mix or operate hand and foot controls. </li><li> Must have correctible vision to perform duties of the job. </li><li> Ability to bend, squat, kneel, stand, reach above shoulder level, and move on hard surfaces for up to eight hours. </li><li> Ability to lift heavy objects weighing up to 50 pounds. </li><li> Position may require repetitive motion. </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 require working in close proximity to blood borne pathogens. </li><li> May require work in an environment where animals are used for teaching and research. </li><li> Position may at times require the employee to work with or be in areas where hazardous materials and/or infectious diseases are present. </li><li> Employee must perform tasks that require the use of personal protective equipment, such as safety glasses and shoes, protective clothing and gloves, and possibly a respirator. </li><li> May require extended or unusual work hours based on research requirements and business needs. </li></ul> 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, . The expected pay range for this position is $93,062 to $111,670 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. </li></ul> 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. 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 . click apply for full job details<img src="https://www.jobg8.com/Tracking.aspx?y8xlsI%2fheHyXsBVdjqPjAbiG1z2y76o6k" width="0" height="0" />

Research Scientist in CRISPR Genomics, Engreitz Lab (2 Year Fixed Term)

Sartorius

<div>Based at our Ann Arbor, MI site, the Intern Research Scientist will play a vital role in supporting the development and integration of cutting-edge optical technologies in healthcare solutions. These advanced platforms will be applied in fundamental research as well as within the pharmaceutical and biotechnology sectors.
Under guidance, the intern will be expected to regularly and systematically design and execute experiments, analyze data, and report results. Collaboration with internal subject matter experts will be essential to understand the applications of emerging technologies.
What you will accomplish together with us:<ul><li>
Contribute to the design and validation of optical analytical tools.</li><li>
Gather and analyze data, perform cell studies using optical modalities and report the findings.</li><li>
Collaborate effectively with cross-functional teams to support R&amp;D efforts and integration of new methodologies into existing workflows.</li></ul>
What will convince us:
Education:<ul><li>
PhD or enrolled in a PhD program in Bioengineering, Biology, Chemistry, or closely related discipline</li></ul>
Experience:<ul><li>
Hands-on experience with operating light microscopes.</li><li>
Hands-on experience with advanced optical imaging techniques- 3D confocal fluorescence, Raman microspectroscopy, fluorescence light sheet, etc. - are preferred but not required.</li><li>
Proficiency in one of the following programming languages for spectral analysis and data processing: Python, R, Matlab, etc. (Python strongly preferred)</li><li>
Experience in systematic experimentation and troubleshooting in a laboratory setting.</li><li>
Proven ability to collaborate effectively in team environments, with leadership experience in academic and professional settings.</li><li>
Identification with our core values: Sustainability, Openness, Enjoyment</li></ul>
What We Offer
As a growing global life science company, with our stock listed on the German DAX and TecDAX , Sartorius offers a wide range of benefits: 
Personal and Professional Development: Mentoring, leadership programs, internal seminar offerings 
Making an Impact Right from the Start: Comprehensive onboarding, including a virtual online platform 
Welcoming Culture: Mutual support, team spirit and international collaboration; communities on numerous topics such as &ldquo;Coaching&rdquo;, &ldquo;Agile Working&rdquo; and a &ldquo;Businesswomen&rsquo;s Network&rdquo; 
Intelligent Working Environment: Working in smart buildings with the latest technology and equipment.
Sartorius is an equal opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, disability or based on status in any other protected group of class.
Please view equal employment opportunity posters provided by OFCCP here.
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Sartorius is part of the solution in the fight against cancer, dementia, and many other diseases. Our technologies help translate scientific discoveries into real-world medicine faster, so that new therapeutics can reach patients worldwide. We look for ambitious team players and creative minds, who want to contribute to this goal and advance their careers in a dynamic global environment. Join our global team and become part of the solution. We are looking forward to receiving your application.
We look forward to receiving your application.
www.sartorius.com/career
If you are a qualified individual with a disability or a disabled veteran and are unable or limited in your ability to use or access our website, you may request a reasonable accommodation to express interest in a specific opening. You can request reasonable accommodation by e-mail at accommodationrequest@sartorius.com</div>

Intern Research Scientist - Onsite - Ann Arbor, MI

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