computational biologist

Genentech

<div><div><div>THE POSITION</div>
We advance science so that we all have more time with the people we love.
The Department of Cell and Tissue Genomics (CTG) is focused on developing and applying state of the art genomics technologies (e.g. single cell omics, high-content imaging, perturbations, etc) to solve key challenges in disease biology, target discovery, and translational medicine. We are seeking a highly talented, creative, and motivated computational biologist to analyze cutting-edge high-dimensional profiling and screening data, with a particular focus on high-content imaging, to decipher complex cellular circuits. The candidate will collaborate closely with members of the department to extract biological insights from diverse high dimensional data sets and support the development of new technologies, leveraging existing computational workflows and developing novel ones.
The Opportunity:
As an integral member of our dynamic team, you will be:<ul><li>
Analyzing high-content imaging data from novel technologies including optical pooled screens, spatial transcriptomics, and high-content perturbation screens, with the goal of extracting mechanistic insights into gene function and cellular phenotypes.</li><li>
Developing methods to analyze and interpret new types of perturbation data.</li><li>
Applying statistics and machine learning to investigate data and extract biological insights.</li><li>
Collaborating across diverse, cross-functional teams including experimentalists in CTG and the therapeutic areas and colleagues in the Computational Sciences Center of Excellence and the AI Biology &amp; Translation departments</li></ul>
Who You Are:<ul><li>
PhD in Computational Biology, Bioinformatics, Computer Science, or a related quantitative field. Alternatively, a PhD in molecular biology, immunology, bioengineering, etc. combined with a very strong record of data analysis, supported by publication in this area. Postdoctoral training is a plus.</li><li>
Strong publication record of biological discovery and/or methods development.</li><li>
Deep expertise in image analysis, including image processing, feature extraction, and morphological profiling. Familiarity with modern deep learning approaches (e.g., embeddings, foundation models) is a plus.</li><li>
Comfortable with the statistical principles behind current best practices in high-throughput data analysis.</li><li>
Fluent in Python and/or R.</li><li>
Excellent communication and presentation skills.</li><li>
Able to work successfully in cross-functional teams to collaboratively solve complex problems.</li><li>
Passionate about applying your analytical skills to understand health and disease.</li></ul>
Preferred Experience:<ul><li>
Experience with in situ data (FISH or ISS barcode calling).</li><li>
Familiarity with image analysis frameworks or libraries (e.g., CellProfiler).</li><li>
Experience with genomic data including single cell RNA-seq and perturbation screens is a plus.</li><li>
Experience with applying machine learning to high throughput datasets is a plus.</li></ul>
Relocation benefits are available for this posting.
The expected salary range for this position based on the primary location of California for Senior Scientist is $124,300- $230,900 and Principal Scientist is $143,200-$265,900. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.</div>
<div><div>JOB FACTS
</div><div><div><ul><div>Job Sub Category
Research Informatics
</div><div>Schedule
Full time
</div><div>Job Type
Regular
</div><div>Posted Date
Apr 10th 2026
</div><div>Job ID
202604-108731</div></ul></div></div></div></div>

Computational Scientist 3 - Cell & Tissue Genomics

The Geneva Foundation

<div>At Geneva, we are always on the search for top talent. While this role is not associated with a current opening, one may become available in the near future. Resumes are reviewed on an ongoing basis, and you could be contacted for this role or similar, at anytime. 
 
About the Position 
 
The Bioinformatics Analyst will use computational and statistical tools to interpret vast biological datasets to support scientific research and discoveries. Duties will include designing algorithms, databases, collaborating with researchers, and analyze and communicate complex findings through visualizations and reports.
QUALIFICATIONS<ul><li>
Masters Degree in Bioinformatics, Computational Biology, Genetics, Pre-Med/Nursing, or a related scientific field preferred</li><li>
AHIC (Health Informatics Certification) is a plus</li><li>
1 year medical paraprofessional experience</li><li>
1 year working in clinical informationcs department at an accredited university</li><li>
Minimum 2-3 years of combined experience next generation sequencing (NGS) data analysis, adept in the development of Next-Generation Sequencing (NGS) analysis pipelines and large-scale data management and processing</li><li>
Minimum 3 years of experience in full software development life cycle with strong skills in software analysis, database design, data modeling, different data types architecture development and data management</li><li>
Experience working with internal and/or external stakeholders on solution design and implementation</li><li>
Programming languages: R, PHP, JavaScript, Perl, Python, SQL, Shell Scripting and Java. Computing Environments: HPC clusters, SLURM, Linux, Mac OS X, Windows</li><li>
Working knowledge of biomedical ontologies (i.e. UMLS, RxNorm, SNOMED CT)</li><li>
Working knowledge and understanding of unstructured, semi-structured, and structured healthcare data</li><li>
Strong familiarity with surgical and molecular pathology repotts, next-generation sequencing report, or clinician notes</li><li>
Demonstrated competency in oral and written communication</li><li>
Must be organized, attentive to detail and reliable, possess good judgment and a positive, friendly &amp; professional demeanor</li><li>
Must be flexible with changing priorities and able to communicate in a diplomatic and professional manner</li></ul>
RESPONSIBILITIES<ul><li>
Translate PI/study needs through design and configuration of software capabailities to deliver desired outcomes and customization of use</li><li>
Modify software application design as needed to meet PI/study needs</li><li>
Design &amp; implement algorithms fpr data processing, and develop &amp; maintain bioinformatics databases</li><li>
Work closely and collaborate with researchers, computer scientists, and others involved to design experiments and interpret results</li><li>
Utilizes high performance computing assets and large data bases (big data)</li><li>
Analyses of problems to develop integrated solutions involving computer hardware and software</li><li>
Applies theoretical expertise and innovation to create or apply new technology, such as adapting principles for applying computers to new uses</li><li>
Incorporate problem solving techniques to develop integrated solutions involving computer hardware and software</li><li>
Identify complex problems and review related information to develop and evaluate options and implement solutions</li><li>
Use logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems</li><li>
Perform highly complex network tasks and systems studies</li><li>
Analyze and compare existing systems and subsystems, and make recommendations to increase scope and performance</li><li>
Oversee laboratory information systems and develop new methods for analyzing large, complex data sets</li><li>
Maintain up-to-date knowledge of clinical informatics</li></ul></div>

BioInformatics Analyst

Tract Bio

OverviewTract Bio, located in The Pearl Innovation District in Charlotte, NC, is seeking a highly motivated Bioinformatics Scientist to join our growing team. Tract Bio Therapeutics is a fast- growing startup developing novel small-molecule therapeutics. This position offers the opportunity to contribute to cutting-edge projects with direct translational impact.Key Responsibilities&middot; Integrate genomics, proteomics, and epigenomics data to identify and validate novel therapeutic targets for small-molecule intervention.&middot; Lead the analysis of large-scale datasets, specifically focusing on Whole Genome Sequencing (WGS), GWAS, ChIP-seq, and ATAC-seq to uncover regulatory mechanisms.&middot; Develop and maintain reproducible pipelines tailored for execution on standalone Linux servers.&middot; Administer the company&rsquo;s on-premise multi-server Ubuntu environment, ensuring high availability and security for the R&amp;D team.&middot; Partner with chemists and biologists to interpret biological data, guide mechanism-of- action studies, and support decision-making.Required Qualifications&middot; Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related field; OR M.S. with 3+ years of relevant industry experience.&middot; Demonstrated experience with WGS, GWAS, ChIP-seq, or ATAC-seq analysis pipelines and biological interpretation.&middot; Strong proficiency in Python and R for statistical analysis, algorithm development, and data visualization.&middot; Expert-level skills in managing Ubuntu/Debian systems, including setting up and managing secure remote access protocols (VPN, SSH tunneling), monitoring system resources and troubleshooting hardware/OS level issues.Preferred Qualifications&middot; Ph.D. with 2+ years of post-graduate industry experience in biotech or pharma.&middot; A strong publication record (e.g., 2+ first-author publications in peer-reviewed journals) demonstrating the ability to lead projects and communicate scientific findings.&middot; Deep understanding of molecular biology, immunology, or oncology&middot; Proficiency with pipeline tools (Nextflow, Snakemake) and version control (Git).&middot; Experience applying machine learning techniques or predictive modeling to identify patterns in high-dimensional biological datasets and prioritize therapeutic targets.Pay: $110,000.00 - $130,000.00 per yearBenefits:<ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Health insurance</li><li>Health savings account</li><li>Life insurance</li><li>Relocation assistance</li><li>Retirement plan</li><li>Vision insurance</li></ul>Application Question(s):<ul><li>Ph.D. in Bioinformatics, Computational Biology, Computer Science, or related field; OR M.S. with 3+ years of relevant industry experience.</li></ul>Demonstrated experience with WGS, GWAS, ChIP-seq, or ATAC-seq analysis pipelines and biological interpretation.Strong proficiency in Python and R for statistical analysis, algorithm development, and data visualization.Expert-level skills in managing Ubuntu/Debian systems, including setting up and managing secure remote access protocols (VPN, SSH tunneling), monitoring system resources and troubleshooting hardware/OS level issues.Deep understanding of molecular biology, immunology, or oncology.Proficiency with pipeline tools (Nextflow, Snakemake) and version control (Git).Experience applying machine learning techniques or predictive modeling to identify patterns in high-dimensional biological datasets and prioritize therapeutic targets.Education:<ul><li>Doctorate (Preferred)</li></ul>Security clearance:<ul><li>Confidential (Required)</li></ul>Ability to Relocate:<ul><li>Charlotte, NC 28204: Relocate with an employer provided relocation package (Preferred)</li></ul>Work Location: In person

Bioinformatics Scientist

Duke University

<div>
 School of Medicine Established in 1930, Duke University School of Medicine is the youngest of the nation's top medical schools. Ranked sixth among medical schools in the nation, the School takes pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental scientific discoveries to improve human health locally and around the globe. Composed of more than 2,500 faculty physicians and researchers, more than 1,300 students, and more than 6,000 staff, the Duke University School of Medicine along with the Duke University School of Nursing, Duke University Health System and the Private Diagnostic Clinic (PDC) comprise Duke Health. a world-class academic medical center. The Health System encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Primary Care, Duke Home and Hospice, Duke Health and Wellness, and multiple affiliations.
 
 
 
 Be You.
 
 
 
 At Duke University School of Medicine, we celebrate individuality, curiosity, and the power of interdisciplinary thinking. As a
 
 Research Technician I (Computational Biology &amp; Bioinformatics)
 
 , you&rsquo;ll join a collaborative and inclusive research environment where your quantitative skills, creativity, and scientific interests directly contribute to advancing cancer and brain tumor genomics.
 
 
 In the lab of
 
 Dr. Yi Zhang
 
 , you&rsquo;ll work alongside computational scientists, cancer biologists, clinicians, and engineers to develop and apply innovative data science approaches that help uncover biological insights from complex genomics data.
 
 
 
 Be Bold.
 
 
 
 This role is designed for early-career scientists who are excited to push boundaries in
 
 machine learning, integrative genomics, and cancer biology
 
 .
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Develop and implement novel machine learning and data analysis methods for large-scale multi-omics datasets, including:
 </li>
 <ul>
 <li>
 Bulk and single-cell RNA sequencing
 </li>
 <li>
 Spatial transcriptomics
 </li>
 <li>
 Single-cell and bulk multi-omics
 </li>
 <li>
 Genetic variation and functional genomics data
 </li>
 </ul>
 <li>
 Apply computational methods to integrative genomics studies focused on:
 </li>
 <ul>
 <li>
 Cancer genomics
 </li>
 <li>
 Tumor microenvironment
 </li>
 <li>
 Brain tumors
 </li>
 </ul>
 <li>
 Collaborate closely with Dr. Yi Zhang and lab members on computational method development and biological interpretation.
 </li>
 <li>
 Partner with interdisciplinary collaborators across Duke and external institutions in quantitative genomics and data science.
 </li>
 <li>
 Communicate scientific findings through writing, presentations, and peer-reviewed publications.
 </li>
 <li>
 Contribute to an open, collaborative research culture through code sharing and open-source development.
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For (Preferred Qualifications)
 
 
 
 <ul>
 <li>
 BS or MS (completed within the last 1&ndash;3 years or to be completed within 1 year) in a quantitative discipline such as:
 </li>
 <ul>
 <li>
 Computational Biology, Bioinformatics, Computer Science
 </li>
 <li>
 Bioengineering, Biostatistics, Statistics, Mathematics
 </li>
 <li>
 Electrical Engineering, Biomedical Data Science, or related fields
 </li>
 </ul>
 <li>
 Experience (or strong interest) in data analysis method development and computational implementation.
 </li>
 <li>
 Proficiency in Python or R, Linux/Unix shell scripting; experience with genomics pipelines and GitHub is a plus.
 </li>
 <li>
 Strong motivation to analyze genomics data and extract meaningful biological insights.
 </li>
 <li>
 Interest or experience in areas such as:
 </li>
 <ul>
 <li>
 Cancer genomics
 </li>
 <li>
 Tumor microenvironment
 </li>
 <li>
 Single-cell and spatial omics
 </li>
 <li>
 Immunology, gene regulatory networks
 </li>
 <li>
 Non-coding genome, genetic variants, and functional genomics
 </li>
 </ul>
 <li>
 Excellent communication skills, including scientific writing and presentations.
 </li>
 <li>
 A demonstrated ability&mdash;or strong potential&mdash;to publish in peer-reviewed journals.
 </li>
 <li>
 Enthusiasm for working in a multidisciplinary, collaborative research environment.
 
 </li>
 </ul>
 
 Choose Duke.
 
 
 
 Dr. Yi Zhang is an
 
 Assistant Professor at Duke University School of Medicine
 
 , with faculty appointments in
 
 Neurosurgery; Biostatistics &amp; Bioinformatics; Biomedical Engineering; and Cell Biology
 
 , and is a member of the
 
 Duke Brain Tumor Omics Program
 
 at the Preston Robert Tisch Brain Tumor Center.
 
 
 
 Her Training Includes
 
 
 
 <ul>
 <li>
 PhD in Bioengineering, University of Illinois at Urbana&ndash;Champaign
 </li>
 <li>
 Postdoctoral training at Dana-Farber Cancer Institute and Harvard T.H. Chan School of Public Health
 
 
 </li>
 </ul>
 Dr. Zhang has published over
 
 20 peer-reviewed articles
 
 in leading journals such as
 
 Cell, Nature Communications, Cancer Discovery, Genome Biology, Nature Machine Intelligence,
 
 and
 
 Neuro-Oncology
 
 . She is the recipient of multiple prestigious awards, including the
 
 NIH NIGMS R35 Award
 
 ,
 
 EECS Rising Star
 
 , and
 
 Emerging Scholars in Genomics
 
 .
 
 
 
 At Duke, You&rsquo;ll Benefit From
 
 
 
 <ul>
 <li>
 A supportive, inclusive, and international research culture
 </li>
 <li>
 Access to world-class collaborators in computer science, genomics, cancer biology, immunology, and neurosurgery
 </li>
 <li>
 Resources and mentorship to help you grow a successful scientific career
 
 
 </li>
 </ul>
 
 Ready to Make a Difference?
 
 
 
 Join us at Duke University School of Medicine and help advance the future of cancer and brain tumor genomics through data-driven discovery.
 
 
 
 Apply today.
 
 
 
 
 Knowledge, Skills And Abilities
 
 
 
 N/A
 
 
 Level Characteristics
 
 
 N/A
 
 
 
 Minimum Qualifications
 
 
 
 Education
 
 
 Work requires an Associate's degree in botany, biology, zoology, psychology or other science related scientific field.
 
 
 
 Experience
 
 
 
 None required above education/training requirement OR AN EQUIVALENT COMBINATION OF RELEVANT EDUCATION AND/OR EXPERIENCE
 
 
 Degrees, Licensures, Certifications
 
 
 None required above education/training requirement OR AN EQUIVALENT COMBINATION OF RELEVANT EDUCATION AND/OR EXPERIENCE
 
 
 
 Anticipated Pay Range:
 
 Duke University provides an annual base salary range for this position as USD $18.00 to USD $26.49. Duke University considers factors such as (but not limited to) scope and responsibilities of the position; candidate's work experience, education/training, and key skills; internal peer equity; as well as market and organizational considerations when extending an offer.
 
 
 Your total compensation goes beyond the dollars on your paycheck. Duke provides comprehensive and competitive medical and dental care programs, generous retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/
 
 
 
 Equal Opportunity Employer:
 
 Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, (including pregnancy and pregnancy related conditions), sexual orientation, or military status.
 
 
 Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas&mdash;an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.
 
 
 
 Essential Physical Job Functions
 
 
 
 Certain jobs at Duke University and Duke University Health System may include essential job functions that require specific physical and/or mental abilities. Additional information and reasonable accommodation(s) can be requested with Duke Access and Accommodations Services (email: DAAS@duke.edu; phone: 919-668-1267).
</div>

RESEARCH TECHNICIAN I

Qatar University

<div><ul><li>Design and implement biostatistical and bioinformatics pipelines for omics and large-scale biological data (e.g., genomics, transcriptomics, epigenetics, metabolomics)</li><li>
Perform complex statistical analyses, including modeling, hypothesis testing, and predictive analytics</li><li>
Provide consultation on experimental design and assist in interpreting results with a strong emphasis on scientific rigor</li><li>
Support and co-author scientific publications, grants, and research proposals in coordination with faculty and research teams</li><li>
Collaborate across interdisciplinary teams including clinicians, laboratory scientists, computational biologists, and project managers</li><li>
Lead the integration of data pipelines and platforms, ensuring compatibility with clinical and research standards</li><li>
Mentor junior staff, including training in biostatistics and bioinformatics tools and best practices</li><li>
Participate in recruitment efforts and contribute to the development of a bioinformatics/biostatistics section</li><li>
Remain current with methodological advancements in bioinformatics, statistics, and data science</li></ul>
Qualifications
 PhD in Biostatistics or related field
Required Documents
<div>Non Academic:</div>
<div><ul><li>Curriculum Vitae with cover letter.</li></ul>
<ul><li>Experience Certificates.</li></ul>
<ul><li>At least three references including contact numbers and email addresses.</li></ul>
<ul><li>Highest Academic Qualification.</li></ul></div>
Academic:
<div><ul><li>Current Curriculum Vitae with Cover letter.</li></ul>
<ul><li>Teaching,research, and service philosophy.</li></ul>
<ul><li>Three referees&rsquo; contact information (physical and email addresses as well their telephones contact).</li></ul>
<ul><li>Copy of highest earned credential (transcript of highest degree if graduated from an institution where course work was completed.However, if no course work was completed,an copy of certificate letter from the registrar of your highest credential granting institution regarding your highest academic degree).</li></ul>
<ul><li>Any additional documentation that you feel is relevant to your application.</li></ul></div>
Benefits
<div>Non Academic:</div>
<div><ul><li>Competitive tax-free salary.</li></ul>
<ul><li>Housing allowance in accordance with HRM Law.</li></ul>
<ul><li>Annual air tickets for candidate and dependents according to QUHR policies.</li></ul>
<ul><li>Public health care and health insurance to candidate and family members according to QU HR policies.</li></ul>
<ul><li>Annual leave in accordance with HRM Law.</li></ul>
<ul><li>End-of-contract indemnity.</li></ul></div>
Academic:
<div><ul><li>A three-year renewable contract.</li></ul>
<ul><li>Salary is commensurate with experience.</li></ul>
<ul><li>Tax-free salary.</li></ul>
<ul><li>Furnished accommodation in accordance with QU HR policies.</li></ul>
<ul><li>Annual air tickets for faculty member and dependents in accordance with QU HR policies.</li></ul>
<ul><li>Educational allowance for candidate's children (eligible candidates only) in accordance with QU HR policies.</li></ul>
<ul><li>Private health care and health insurance in accordance with QU HR policies.</li></ul>
<ul><li>Annual leave in accordance with QU HR policies.</li></ul>
<ul><li>End-of-contract indemnity.</li></ul></div>
How To Apply New Applicant: You need to setup an account with QU Recruitment Online website (https://careers.qu.edu.qa) and complete your personal profile. Once your profile is complete you may use it to apply for an open Position.</div>

Biostatistician

GenBio AI

<div>
 GenBio AI develops multiscale foundation models to decode and simulate human biology. Our team is accelerating towards an ambitious future where scientists can unlock humanity's biggest challenges in drug discovery, healthcare, and fundamental research with AIDO (AI-Driven Digital Organism): a unified framework for predicting, simulating, and programming biology across all scales. The foundation of this vision begins today as we engineer the virtual cell to model and simulate the fundamental unit of life.
 
 
 This vision has brought together a talent-dense group of product-minded researchers and engineers dedicated to bringing it to reality. Our team prides itself on our strong engineering culture and highly interdisciplinary and collaborative approach. We are based in Palo Alto, with satellite offices in Paris and Abu Dhabi.
 
 
 As our data ingestion needs grow, we are looking for a Bioinformatics Data Engineer to act as the crucial bridge between raw biological data and our scalable infrastructure. Reporting to the Data Engineering Lead, you will leverage your deep biological domain expertise to build the initial scripts and processing logic for complex datasets, ensuring they are primed for large-scale foundation model training.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Source &amp; Acquire Biological Data - Identify, evaluate, and obtain high-quality bioinformatics datasets from public and partner sources (e.g., NCBI, PubChem, ENCODE,UniProt etc.) to support research and model development initiatives
 </li>
 <li>
 Deeply Understand Complex Datasets - Develop a comprehensive understanding of biological datasets, including data structures, schemas, metadata standards, entity relationships, and underlying biological context to ensure accurate interpretation and usage
 </li>
 <li>
 Design &amp; Implement Data Processing Pipelines - Develop robust preprocessing scripts and scalable data transformation workflows using Python, R, and relevant Tools. Leverage AI-assisted tools where appropriate to process, clean, normalize, and integrate complex biological data for foundation model training
 </li>
 <li>
 Structure &amp; Standardize Biological Data - Organize heterogeneous datasets into well-defined, interoperable formats aligned with internal infrastructure requirements and downstream AI training pipelines
 </li>
 <li>
 Bioinformatics Data Analysis - Perform exploratory and statistical analysis of genomic, transcriptomic, proteomic, and other multi-omics datasets to assess data quality, uncover biological patterns, and generate insights that inform model development. Apply appropriate computational and statistical methods to validate assumptions and support downstream AI training and evaluation
 </li>
 <li>
 Build Data Products - Create production-ready data assets, including standardized datasets, curated releases, dashboards, analytical reports, and technical documentation to enable efficient research and model evaluation
 </li>
 <li>
 Ensure Data Quality &amp; FAIR Compliance - Curate, annotate, validate, and standardize public and partner datasets in alignment with FAIR (Findable, Accessible, Interoperable, Reusable) principles, ensuring long-term usability and reproducibility
 </li>
 <li>
 Collaborate Cross-Functionally - Partner closely with research scientists and ML engineers to translate biological research needs into scalable data engineering solutions that support AI model training and evaluation
 </li>
 <li>
 Knowledge Sharing &amp; Documentation - Contribute domain expertise by documenting data methodologies, maintaining clear technical documentation, and sharing biological data insights across teams
 
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Educational Background: Bachelor&rsquo;s or Master&rsquo;s degree in Bioinformatics, Computational Biology, Computer Science, or a related field with a heavy focus on the life sciences
 </li>
 <li>
 Biological Data: Deep, hands-on familiarity with multiple biomedical data modalities (e.g., genomics, transcriptomics, spatial omics, protein structure, biomedical imaging, clinical/phenotypic data, etc.)
 </li>
 <li>
 Biological Tools: Familiar with Bioconda,Biopython,Bioconductor, samtools,bamtools,bcftools,gffutils etc
 </li>
 <li>
 Scripting &amp; Tooling: Strong programming skills in Python (Pandas, NumPy) and proficiency with standard bioinformatics workflow managers and tools (e.g., Ray, Kubeflow)
 </li>
 <li>
 Engineering Handoff: Experience writing clean, modular code that can be easily picked up by core data engineers for optimization in cloud environments (AWS/GCP/HF) and containerized setups (Docker)
 </li>
 <li>
 AI/ML Awareness: A solid understanding of machine learning workflows and how biological data must be formatted and batched for deep learning frameworks (e.g., PyTorch)
 
 
 
 
 </li>
 </ul>
 Join us as we embark on this journey to redefine the future of biology and medicine.
 
 
 We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. GenBio AI participates in the U.S. Department of Homeland Security&rsquo;s E-Verify program to confirm the employment eligibility of all newly hired employees. For more information on E-Verify, please visit www.e-verify.gov.
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Bioinformatics Data Engineer

<div>
 Headquartered in Silicon Valley, we are a newly established start-up where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of generative AI. Our team comprises leading minds and innovators in AI and biological science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.
 
 
 We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our robust R&amp;D team and leadership in LLMs and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris and Abu Dhabi, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.
 
 
 
 Job Description:
 
 
 
 <ul>
 <li>
 You will work with the team to conduct cutting-edge AI and computational biology research. Your primary tasks will include improving existing models and exploring new methodologies to advance our AI capabilities in biology
 </li>
 <li>
 You will work with the team on designing and executing experiments, analyzing complex datasets, and applying statistical techniques to validate the performance and robustness of AI systems
 </li>
 <li>
 Additionally, you will collaborate closely with the AI/ML researchers and computational biologists on the team to develop our state-of-the-art AI for biology foundation models
 
 
 
 
 </li>
 </ul>
 
 Qualification:
 
 
 
 <ul>
 <li>
 M.S. or Ph.D. student (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field
 </li>
 <li>
 Skilled in developing, implementing, and debugging deep learning methods/models in popular frameworks, such as JAX, TensorFlow, or PyTorch, with an interest in generative models, graph neural networks, or large-scale deep learning applications
 </li>
 <li>
 Strong theoretical foundation (e.g., statistics, optimization, graph theory, linear algebra)
 </li>
 <li>
 Passion for interdisciplinary research (emphasizing the intersection of AI and Biology), and willingness to acquire necessary domain knowledge
 </li>
 <li>
 Motivated and self-driven with the ability to operate with partial descriptions of high-level objectives (as is typical in a start-up environment)
 </li>
 <li>
 Familiarity with software engineering best practices (version control, documentation, etc)
 
 
 
 
 </li>
 </ul>
 
 Nice to Have:
 
 
 
 <ul>
 <li>
 3 year PhD student and above
 </li>
 <li>
 Proven track record in research and innovation demonstrated through contributions in top-tier AI/ML (e.g., NeurIPS, ICML, CVPR, ECCV, ICCV, ICLR) and/or core biology (e.g., Nature, Science, or Cell) journals and conferences
 </li>
 <li>
 Intern experience in industry (e.g., OpenAI, FAIR, Deepmind, Google Research)
 </li>
 <li>
 Hands-on experience working at the intersection of AI and Biology
 </li>
 <li>
 Experience in large-scale distributed training and inference
 </li>
 <li>
 Open-source contributions, especially if used by others
 
 
 
 
 </li>
 </ul>
 Join us as we embark on this journey to redefine the future of biology and medicine.
 
 
 We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. GenBio AI participates in the U.S. Department of Homeland Security&rsquo;s E-Verify program to confirm the employment eligibility of all newly hired employees. For more information on E-Verify, please visit www.e-verify.gov.
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Research Scientist Intern

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