computational biologist

CRISPR Therapeutics

<div>Job Description:
Company Overview
Since its inception over a decade ago, CRISPR Therapeutics has transformed from a research-stage company advancing programs in the field of gene editing, to a company with a diverse portfolio of product candidates across a broad range of disease areas including hemoglobinopathies, oncology, regenerative medicine, cardiovascular and rare diseases. The Nobel Prize-winning CRISPR science has revolutionized biomedical research and represents a powerful, clinically validated approach with the potential to create a new class of potentially transformative medicines. To accelerate and expand its efforts, CRISPR Therapeutics has established strategic partnerships with leading companies including Vertex Pharmaceuticals. CRISPR Therapeutics AG is headquartered in Zug, Switzerland, with its wholly-owned U.S. subsidiary, CRISPR Therapeutics, Inc., and R&amp;D operations based in Boston, Massachusetts and San Francisco, California.
Position Summary
We are seeking a highly motivated and talented Computational Biology &amp; AI Scientist to grow our CRISPR-X and Genomics teams at CRISPR Therapeutics. The scientist in this role will leverage computational genomics and machine learning to advance next-generation in vivo therapies for gene correction and gene insertion into the clinic, including designing novel CRISPR proteins and characterizing gene-editing safety. The successful candidate will own technical strategy, collaborate closely with cross-functional research groups, and deliver contributions that directly impact patients with serious diseases. The position requires outstanding skills in computational biology, ML/AI, and genomics; a high degree of scientific rigor and attention to detail; and a passion for creating new medicines for patients.
Responsibilities<ul><li>
Lead computational genomics and ML/AI activities in a cross-functional drug development setting</li><li>
Generate and test hypotheses on genome-scale data using analytical, statistical, and machine learning methods</li><li>
Perform computational analyses to thoroughly characterize off-target gene editing to ensure the safety of CRISPR-based drug products</li><li>
Apply and develop ML/AI tools to engineer and optimize CRISPR and other gene-editing modalities for improved efficacy and specificity, working in iterative design-test cycles with a world-class team of cellular and molecular biologists</li><li>
Develop and maintain reproducible computational and ML/AI pipelines for genomic and molecular data analysis</li><li>
Author scientifically rigorous research reports to support IND submissions and other regulatory filings</li><li>
Present scientific findings to a broad range of audiences, including senior leadership, to help inform decision-making for therapeutic programs
</li><li>Dissect published literature and cutting-edge developments in the ML/AI space to find novel solutions for in vivo gene-editing problems
</li></ul>Minimum Qualifications<ul><li>
Ph.D. in computational biology, bioinformatics, genomics, machine learning, computer science, or a related field</li><li>
At least 2 years of industry or postdoctoral experience characterizing on-/off-target editing, optimizing gene-editing modalities, or developing AI/ML-driven approaches for therapeutic protein design</li><li>
Demonstrated record of developing computational pipelines to analyze high-throughput DNA sequencing data, with proficiency in common bioinformatics tools (e.g., BWA, SAMtools, GATK, IGV)</li><li>
Proven ability to develop and apply machine learning and/or AI methods to solve challenging problems in the biological domain</li><li>
Proficiency with Python is essential; familiarity with additional languages such as C++, R, or Julia is a plus</li><li>
Ability to work independently and effectively in a matrix environment, prioritize and manage multiple tasks simultaneously, and balance competing priorities</li><li>
Excellent writing, reviewing, and presentation skills</li><li>
A high degree of scientific rigor, accuracy, and attention to detail</li></ul> 
Preferred Qualifications<ul><li>
Experience applying ML/AI tools for protein structure prediction (e.g., AlphaFold), de novo protein design (e.g., RFdiffusion), and/or biomolecular sequence modeling (e.g., ESM, Evo)</li><li>
Proficiency with statistical and machine learning methods, including familiarity with ML frameworks (e.g., PyTorch, TensorFlow, or scikit-learn)</li><li>
Familiarity with sequencing platforms (Illumina, PacBio, Oxford Nanopore, 10x Genomics) and NGS library preparation methods</li><li>
Demonstrated record of authoring research reports to support regulatory filings (e.g., IND modules, Investigator's Brochures)</li><li>
Proficiency in managing and analyzing large-scale genomic data in a Linux and/or cloud environment (e.g., AWS)</li></ul> 
Competencies<ul><li>
Collaborative &ndash; Openness, One Team</li><li>
Undaunted &ndash; Fearless, Can-do attitude</li><li>
Results Orientation &ndash; Delivering progress toward our mission. A sense of urgency in solving problems.</li><li>
Entrepreneurial Spirit &ndash; Proactive. Ownership mindset.</li></ul>
CRISPR Therapeutics believes in fostering a dynamic workplace that balances remote work flexibility with the benefits of in-person interactions. Our employees work at least three days on-site, creating a collaborative work environment, where we cultivate mentorship opportunities, increase cross-functional communication and offer opportunities for our employees to connect. Certain lab based and manufacturing positions are located fully on-site.
Senior Clinical Scientist: Base pay range of $140,000 to $150,000+ bonus, equity and benefits
The range provided is CRISPR Therapeutics&rsquo; reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as experience, training, skills, and abilities.
CRISPR Therapeutics, Inc. is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation or any characteristic protected under applicable law.
To view our Privacy Statement, please click the following link: http://www.crisprtx.com/about-us/privacy-policy</div>

Scientist II, Computational Biology & AI

NewLimit

<div>
 
 About NewLimit
 
 
 
 NewLimit is a biotechnology company working to radically extend human healthspan. We&rsquo;re developing medicines to treat age-related diseases by reprogramming the epigenome, a new therapeutic mechanism to restore regenerative potential in aged and diseased cells. We leverage functional genomics, pooled perturbation screening, and machine learning models to unravel the biology of epigenetic aging and disease using experiments of unprecedented scale.
 
 
 
 Description
 
 
 
 NewLimit is seeking a Data Scientist to join our Predict team. In this role, you will develop, improve, and operate bioinformatics pipelines supporting large-scale single-cell perturbation screens. Success in this position requires a deep attention to methodological detail at every stage of the analysis, as well as careful measurement and evaluation of pipeline performance.
 
 
 You will work closely with experimentalists and computational scientists to maintain core infrastructure, assess emerging analysis tools, and build robust software solutions that improve efficiency, scalability, and reliability.
 
 
 
 As a Member Of Our Team, You Will
 
 
 
 <ul>
 <li>
 Collaborate with Write, Read, and Predict teams to support the design, execution, and interpretation of experiments using single-cell and multi-omics data
 </li>
 <li>
 Contribute to the development and implementation of primary and secondary analysis software.
 </li>
 <li>
 Improve and run production pipelines for large-scale single-cell perturbation screens to ensure timely and reliable data delivery
 </li>
 <li>
 Contribute to the development of reproducible, well-documented computational workflows and internal best practices
 </li>
 <li>
 Develop microservice web applications and integrations that reduce wet lab manual effort and improve data flow between teams
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s, Master's, or PhD in Bioinformatics, Biostatistics, Computational Biology, Computer Science, or a related technical field
 </li>
 <li>
 Experience analyzing and interpreting single-cell or multi-omics datasets (e.g., scRNA-seq, multiome, scATAC-seq), with hands-on exposure to perturbation screens preferred
 </li>
 <li>
 Familiarity with core single-cell bioinformatics workflows, including demultiplexing, alignment, and quality control
 </li>
 <li>
 Strong software engineering fundamentals and experience working with bioinformatics tools and pipelines
 </li>
 <li>
 Working knowledge of statistical and machine learning methods applied to biological data (e.g. regression analysis, supervised learning) sufficient to critically evaluate analytical choices and interpret results conceptually
 
 
 </li>
 </ul>
 Nice to haves
 
 
 <ul>
 <li>
 Proficiency with Python-based data science tools (NumPy, SciPy, Pandas)
 </li>
 <li>
 Experience with cloud computing environments (AWS, GCP, or Azure)
 </li>
 <li>
 Strong Python programming skills and comfort working in Unix-based environments
 </li>
 <li>
 Experience with containerized workflows (Docker, Singularity)
 </li>
 <li>
 Familiarity with molecular biology workflows and experimental genomics
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Health, dental, and vision insurance
 </li>
 <li>
 401(k) with company match
 </li>
 <li>
 Industry-leading paid time off (PTO) -- 20 days/year for all employees + holidays
 </li>
 <li>
 Paid parental leave
 </li>
 <li>
 Meals and snacks on-site
 
 
 </li>
 </ul>
 Salary Range: $130,000 to $170,000. Compensation for the role will depend on a number of factors, including a candidate&rsquo;s qualifications, skills, competencies, and experience. NewLimit offers a competitive benefits package, which includes a 401k, healthcare coverage, and 20 days of PTO. Learn more at: https://www.newlimit.com/careers *This compensation and benefits information is based on Company's good faith estimate as of the date of publication and may be modified in the future.
</div>

Data Scientist

St. Jude Children's Research Hospital

<div>The Senior Computational Researcher will perform analyses using existing, modified, or newly developed tools/methods. Set up tools and troubleshoot analyses using new or modified computational research techniques.
The Lead Discovery Informatics (LDI) Center in the Department of Chemical Biology and Therapeutics (CBT), led by Dr. Anang Shelat, and the Laboratory of Dr. Christoph Gorgulla in the Department of Structural Biology, are seeking a highly motivated computational chemist interested in applying state-of-the-art techniques in computer-aided drug design to discover novel small molecule modulators of targets relevant to pediatric disease. The applicant is expected to work alongside domain experts in the biology of pediatric disease, chemists, and pharmacologists, as well as the various institutional shared resources devoted to translational science, in a collaborative project team environment. 
The applicant must have a strong background in computational chemistry, including molecular dynamics simulations, virtual screening, quantitative structure activity relationship modeling, and chemical informatics. The applicant must also be comfortable using high performance computing resources; and developing, maintaining, and mining chemical and biological databases. Experience with designing proximity-based small molecule modulators, such as PROTACs and molecular glues, is welcome. Proficiency in scientific computing languages, such as R and python, and open-source programing tools such as Knime, RDKit, and ChemProp, is a plus. 
LDI is a world-class collaborative research center with expertise in chemical informatics, molecular simulation, computer-aided molecular design, and chemically aware machine learning. Our mission is to enable a deeper interrogation of biology through the integration of chemistry, computation, and data science. The Gorgulla lab has pioneered the development of next generation methods for computational biology and ligand/drug discovery based on ultra-large virtual screenings, artificial intelligence, quantum chemistry, and quantum computing. Individuals with bold vision and who demonstrate excellence in research at the interface of chemistry, biology, and medicine are encouraged to join our team.
Job Responsibilities:<ul><li>
Perform analyses using existing, modified, or newly developed tools/methods.</li><li>
Set up tools, and troubleshoot analyses using new or modified computational research techniques.</li><li>
Identify data pertinent to the analysis problem; process, organize, and summarize data; report results.</li><li>
Assist in the drafting and editing of manuscripts.</li><li>
Provide guidance to entry-level employees.</li><li>
Perform other duties as assigned to meet the goals and objectives of the department and institution.</li><li>
Maintains regular and predictable attendance.</li></ul>
Minimum Education and/or Training:<ul><li>
Bachelors in bioinformatics, Molecular Biology, Biochemistry, Computer Science, or related field required.</li><li>
Master's degree preferred.</li></ul>
Minimum Experience:<ul><li>
Minimum Requirement: Bachelor's degree and 4+ years of relevant experience.</li><li>
Experience Exception: Master's degree and 1+ years of relevant experience.</li><li>
Experience leading and supporting computational research.</li><li>
Some experience in research support activities.</li><li>
Proven performance in earlier role/ comparable role.</li></ul>
Compensation
In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $78,000 - $139,360 per year for the role of Senior Computational Researcher.
Explore our exceptional benefits!<div>
St. Jude is an Equal Opportunity Employer</div>
No Search Firms
St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.</div>

Senior Computational Researcher

Sanford Burnham Prebys Medical Discovery Institute

<div>Sanford Burnham Prebys is much more than a research facility and hub for innovation; it&rsquo;s a vibrant global community of talented scientists and researchers from over 30 countries. This worldwide representation enriches our perspectives and enhances our creative approach to solving complex scientific challenges.
We strive to be leaders not only in biomedical research but also in creating an environment where excellence thrives through collaboration across cultures and backgrounds. Our mission is to advance the biomedical sciences by cultivating the next generation of scientific leaders, providing meaningful opportunities for researchers of all backgrounds to learn, innovate, and make breakthrough discoveries that improve human health.
Together, we translate science into health.
The duties and responsibilities contained in the job description are intended to be examples of the accountabilities for which the person in the position will demonstrate competency through performance. The job description is not intended to be an all-inclusive list. Duties and responsibilities are subject to change and other duties may be assigned as necessary.
We are seeking a highly motivated research assistant in computational biology and Artificial Intelligence to support our dynamic and interdisciplinary lab, dedicated to advancing our understanding of cellular systems and human diseases through computational approaches. The successful candidate will focus on developing novel ML/AI tools for single-cell and multi-omics analyses to uncover tissue function, cellular heterogeneity, gene regulatory networks, and epigenetic mechanisms in complex biological systems. Our goal is to translate data-driven models into actionable biological hypotheses and therapeutic strategies. Representative work includes, Li, Vasciaveo, et al. Nature 2026; Malagola, Vasciaveo et al., Cell 2024; Stokes, Vasciaveo et al., Cell Chemical Biology 2024; Leuzzi, Vasciaveo et al., Cell 2024; Vasciaveo et al., Cancer Discovery 2023;
Duties and Responsibilities:<ul><li> Perform integrative analyses across single-cell and multi-omics datasets to derive biological insights.</li><li> Develop, document, and maintain computational pipelines for data processing, modeling, and visualization.</li><li> Contribute to figure generation, results summaries, and manuscript preparation.</li><li> Collaborate with experimental scientists to translate questions into analysis plans and interpretable outputs.</li><li> Practice reproducible research workflows (version control, well-annotated code, and shareable reports).</li></ul> 
Minimum Qualifications: &ndash; Candidates must meet the following criteria:<ul><li> B.Sc. in a quantitative discipline (computer science, computational biology, bioinformatics, systems biology)</li><li> Experience with single-cell analysis tools (Scanpy/Seurat) and multi-omics integration.</li><li> Familiarity with machine learning, including deep learning frameworks (PyTorch/TensorFlow) and/or imaging analysis.</li><li> Evidence of prior coding projects (GitHub, course projects, notebooks, or publications).</li></ul> 
Desirables &ndash; Preference will be given to candidates with:<ul><li> M.Sc. in quantitative disciplines</li><li> Experience with single-cell analysis tools (Scanpy/Seurat) and multi-omics integration.</li><li> Familiarity with machine learning, including deep learning frameworks (PyTorch/TensorFlow) and/or imaging analysis.</li><li> Evidence of prior coding projects (GitHub, course projects, notebooks, or publications).</li></ul> 
What We Offer<ul><li> A collaborative and supportive environment at the forefront of computational and experimental biology.</li><li> Access to novel, cutting-edge datasets and computational resources.</li><li> Opportunities for professional development, mentorship, and career advancement.</li><li> Highly competitive salary</li><li> Comprehensive benefits package.</li></ul> 
Location: Sanford Burnham Prebys Medical Discovery Institute, San Diego, U.S. 
Please submit the following documents:
1. A cover letter highlighting your research interests and fit for this position.
2. Curriculum vitae (CV), including a list of publications.
3. Contact information for at least two references.
Applications will be reviewed on a rolling basis until the position is filled. 
Compensation: The expected hiring range for this position is $43,000/annually commensurate with relevant experience.
We welcome talented individuals of all backgrounds regardless of gender, sex, religion, race, national origin, citizenship, age, disability, perceived disability, pregnancy, pregnancy-related condition, reproductive health decisions, sexual orientation, gender identity, gender expression, genetic information, HIV/AIDS, marital status, covered veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. We are proud to be an equal employment opportunity employer.
As part of this commitment, Sanford Burnham Prebys Medical Discovery Institute will ensure that persons with disabilities are provided reasonable accommodations for the hiring process. If a reasonable accommodation is needed, please contact our Benefits Team at (858) 646-3100 or via e-mail at benefits@sbpdiscovery.org</div>

RESEARCH ASSISTANT I

New Jersey Institute of Technology

<div>Title: 
Hourly Data Analyst 
 
Department: 
Computer Science 
 
Reports To: 
Distinguished Professor 
 
Position Type: 
Staff 
 
Position Summary: 
We are seeking a highly motivated Hourly Data Analyst (MS level) in Bioinformatics to support computational analysis of next-generation sequencing (NGS) data in a multidisciplinary biomedical research environment. The successful candidate will assist with the analysis and interpretation of high-throughput sequencing datasets and collaborate with experimental and computational researchers. 
 
Essential Functions: 
<ul><li>Perform bioinformatics analysis of NGS datasets, including RNA-seq, RIP-seq, and related sequencing assays.</li><li>Process raw sequencing data, including quality control, alignment, quantification, and downstream analysis.</li><li>Develop and maintain analysis pipelines using standard bioinformatics tools and scripting languages.</li><li>Conduct statistical analysis and visualization of genomic data.</li><li>Assist in interpreting results and preparing figures, reports, and documentation for publications and presentations.</li><li>Work closely with laboratory researchers to integrate computational analysis with experimental design.</li></ul> 

Prerequisite Qualifications: 
<ul><li>MS degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.</li><li>Experience with NGS data analysis (e.g., RNA-seq, RIP-seq, ChIP-seq or similar).</li><li>Proficiency in Python, R, or similar scripting languages, and familiarity with Linux/Unix environments.</li><li>Experience with bioinformatics tools for sequence alignment, differential expression analysis, and genomic data processing.</li><li>Strong analytical, organizational, and communication skills.</li><li>At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position.</li></ul> 

Salary Information: 
In compliance with the NJ Pay Transparency Law, the hourly rate for this position is $25.00 (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items. 
 
FLSA: 
Non-Exempt 
Part-Time</div>
 <div><ul><li>New Jersey Institute of Technology (NJIT) is an Equal Employment Opportunity (EEO) employer committed to fostering a diverse, equitable, and inclusive environment across our teaching, research, and workplace communities. NJIT does not discriminate on the basis of race, color, national origin, sex, sexual orientation, gender identity or expression, disability, age, religion, ancestry, genetic information, military or veteran status, or any other characteristic protected by law. We strongly encourage applications from women, minorities, individuals with disabilities, and veterans, and are dedicated to ensuring access, equal opportunity, and reasonable accommodations for individuals with disabilities in all employment, programs, services, and activities.</li><li>
Employment at NJIT is subject to the provisions of New Jersey First Act which mandates new employees, who are not NJ residents, to establish primary residence in New Jersey within one year of their appointment to certain positions. The law does not apply to any individual employed at NJIT on a temporary or per semester basis as a visiting or adjunct professor, teacher, lecturer, researcher or administrator. For more information on the act please click here.</li><li>
If special accommodations are needed in applying for a position, please visit the Department of Human Resources located in Fenster Hall, Room 500, University Heights, Newark, NJ 07102 or call (973) 596-3140. If you have questions, please email the Human Resources Department at hr@njit.edu.</li><li>
Information regarding NJIT campus security, personal safety, and fire safety including topics such as, disciplinary procedures, crime prevention, NJIT Police law enforcement authority, crime reporting policies, and crime statistics for the most recent three year period is available on the NJIT Department of Public Safety here.
</li><li>NJIT is an E-Verify employer and uses E-Verify to confirm work authorization of each new hire.</li></ul></div>

Hourly Data Analyst

<div>Site Name: USA - Pennsylvania - Upper Providence 
Posted Date: Mar 19 2026 
Are you looking for an opportunity to lead a Translational Data Science team within Oncology Data Science (ODS) in GSK&rsquo;s Translational Development and Sciences department and aid in the discovery and development of new cancer medicines? If so, this is the job for you.
As a Physician Director of the ODS Translational team in the Oncology Data Science you will lead, plan and coordinate applied AI/ML and computational biology projects in partnership with discovery, translational and clinical functions across GSK. You will work in an inter-disciplinary environment, frequently interfacing with wet-lab and translational scientists, clinicians, statisticians, and AI/ML colleagues among others. Your work will have application across Oncology tumor strategy areas and across all stages of drug discovery and clinical development to inform target and biomarker discovery, disease and mechanistic understanding, indication and patient subgroup selection, and treatment response optimization using precision medicine approaches.
GSK&rsquo;s Oncology portfolio has seen significant growth in the past years. In the late-stage setting, we have seen numerous approvals and positive Phase 3 readouts. We also have several early-stage programs aiming to enter the clinic over the years to come. Oncology is now posed to be a significant growth driver for GSK, allowing us to be ambitious for patients and continue investment into early drug discovery. To achieve these aims requires leadership in computational biology to derive decision making insights from complex oncology genetic and genomic datasets.
This role will provide you the opportunity to lead key activities to progress your career. These responsibilities include some of the following:<ul><li>
Lead and build a growing team of Translational Data Scientists to support and innovate the Oncology portfolio pipeline</li><li>
Leverage your clinical training and experience to translate complex computational and molecular insights into clinically meaningful hypotheses, study designs, and biomarker strategies that directly inform patient care and oncology clinical development</li><li>
Contribute scientific expertise and design to multiple drug discovery or development efforts across oncology</li><li>
Act as a competent and recognized expert in developing and critiquing the scientific validity of research/development initiatives to drive the development and delivery of long-term scientific strategy in Oncology Genomics</li><li>
Individually contribute with analyses and integration of complex cancer datasets. This includes analysis of histopathology imaging data, gene &amp; protein expression (bulk + single cell + spatial), somatic mutations, copy number alterations, and structural variants</li><li>
Apply statistical methods and AI/machine learning algorithms to identify patterns in data, predict drug response, and discover potential biomarkers. Critically evaluate results. Conduct survival analysis to assess the impact of various factors on patient outcomes</li><li>
Lead the development and use of bioinformatics pipelines</li><li>
Serve as a recognized leader in driving technological foresight within specific scientific function or directing content of programs</li><li>
Lead and influence the outcome of multidisciplinary meetings including partners in therapeutic research units, translational and clinical development teams.</li><li>
Communicate complex scientific findings clearly to both technical and non-technical audiences.</li><li>
Maintain current knowledge of advancements in cancer research and computational biology.</li><li>
Effectively communicate findings to appropriate senior GSK internal groups</li><li>
Utilize your track record of effecting substantial change by applying interdisciplinary knowledge of multiple disciplines and therapeutic areas that impact discovery and/or development in oncology</li><li>
Apply scientific skills to influence experimental design and data interpretation that impacts across drug discovery/development</li><li>
Define and execute a coordinated and highly influential scientific strategy</li><li>
Accountable for decisions affecting major product development activities or business directives and their implementation and for recommending allocation of resources with key matrix partners</li></ul><h2 class="jobSectionHeader">
Why you?</h2><h2 class="jobSectionHeader">
Basic Qualifications: 
</h2> 
We are looking for professionals with these required skills to achieve our goals:<ul><li>
medical degree</li><li>
Completion of a clinical residency program leading to board qualification or certification in internal medicine, pathology, pediatrics is required</li><li>
10 years plus academic or industry experience in Computational Biology, Bioinformatics, or Translational/Clinical AI with focus on Oncology</li><li>
5 years of leadership or matrix leadership experience in Computational Biology, Applied AI/ML, Cancer Biology or a related field</li></ul><h2 class="jobSectionHeader">
Preferred Qualifications:
</h2>If you have the following characteristics, it would be a plus:<ul><li>
A medical degree with PhD is preferred</li><li>
Leadership with line management experience in Data Science in Oncology Research and Development in Industry, Biotech or Academic settings</li><li>
Strong understanding of cancer biology and the drug discovery process.</li><li>
Proficiency in Python or R, with experience building bioinformatic workflows and documenting code with version control.</li><li>
Experience with multimodal foundation models for preclinical and clinical application in oncology</li><li>
Experience working with large-scale oncology datasets (e.g., RWE, TCGA, CPTAC and multiomic data integration</li><li>
Understanding of statistical methods, machine learning and/or AIML algorithms, and survival analysis techniques.</li><li>
Expertise and experience in integrating translational and real-world clinical and &lsquo;omics data with preclinical data for target discovery, biomarker and patient selection strategies</li><li>
A strong publication track record and internationally recognized research experience</li><li>
Knowledge of multiple disciplines and therapeutic areas that impact discovery/ development policy, processes or guidelines in the pharmaceutical industry</li><li>
Demonstrated ability to coordinate outputs from several expertise areas to determine strategy</li><li>
Proven track record of effecting substantial change</li><li>
Ability to make decisions</li><li>
Expert in integration of preclinical development disciplines and commercial strategy into a full-scale product development activity</li><li>
Ability to influence others</li></ul> 
Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.
Why GSK?
Uniting science, technology and talent to get ahead of disease together.
GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases &ndash; to impact health at scale.
People and patients around the world count on the medicines and vaccines we make, so we&rsquo;re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.
If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at - usrecruitment.adjustments@gsk.com.
GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.
Important notice to Employment businesses/ Agencies
GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.
Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK&rsquo;s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/</div>

Physician Director Oncology Data Science - Translational Science

Bristol Myers Squibb

<div>Working with Us 
Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. 
 
Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us . 
 
When you join BMS, you are joining a diverse, high-achieving team united by a common mission.
 
 
The Informatics and Predictive Sciences (IPS) mission is to Pioneer, Partner and Predict to drive transformative insights for patient benefit. IPS conducts applied computational research in areas that include genomic, structural and molecular informatics, computational and systems biology, patient selection and translational biomarker research, and broader fields including knowledge science, epidemiology and machine learning-across the full lifecycle of drug discovery and development and across all therapeutic areas at BMS. We do this in close partnership with scientific and clinical experts in the field, both inside and outside the company.&quot; We perform innovative science to empower key data-driven decisions across a rich pipeline of next-generation medicines. In doing so, our work transforms the lives of patients, as well as our own lives and careers. 
 
Here, you'll get the chance to grow and thrive through opportunities that are uncommon in scale and scope. You'll pursue innovative ideas while advancing professionally alongside some of the brightest minds in biopharma. 
 
Summary 
 
We are seeking a highly motivated and innovative Principal computational scientist to lead efforts at the intersection of machine learning, agentic AI, and oncology target discovery. In this role, you will create and implement advanced algorithms and agent-based tools to analyze complex biological and clinical datasets to identify new therapeutic targets and deepen our understanding of resistance to standard care. In close partnership with cross-functional teams, you will integrate functional screens, diverse 'omics and real-world data to generate actionable insights. This role offers a unique opportunity to establish and scale cutting edge analytical capabilities that meaningfully accelerate oncology target discovery and improve patient outcomes. 
 
Key Responsibilities<ul><li>
Design, build, and deploy applied AI and agentic systems to automate and augment analytical workflows for target identification and validation using high-throughput omics, functional genomics, and perturbation screening data.</li><li>
Lead the integration of agentic and machine learning solutions into cross-functional research workflows in close collaboration with stakeholders.</li><li>
Integrate and analyze large-scale, patient-derived, multimodal datasets to elucidate disease biology, resistance mechanisms, and patient stratification opportunities.</li><li>
Translate complex analytical results into clear, actionable insights that inform scientific strategy and enable decision-making.</li><li>
Author scientific reports and present methods, results, and conclusions to a publishable standard.</li><li>
Contribute to the planning and execution of collaborative projects within and across functional groups.</li></ul>
Basic Qualifications
<ul><li>B achelor's Degree 8+ years of academic / industry experience
</li><li>or Master's Degree 6+ years of academic / industry experience
</li><li>or PhD 4+ years of academic / industry experience
</li></ul>Preferred Qualifications<ul><li>
Ph.D. in Computational Biology, Systems Biology, Computer Science, Machine Learning, Statistics, or a related quantitative field.</li></ul><ul><li>
Demonstrated experience developing and deploying applied AI agents and/or complex LLM-driven applications in research or industry settings.</li><li>
Strong understanding of analytical approaches for functional genomics, single-cell and spatial 'omics, and real-world patient data.</li><li>
Solid grounding in systems biology, molecular biology, and/or disease biology within a drug discovery context; experience in oncology is strongly preferred.</li><li>
Scientific Impact: Strong publication record in machine learning, bioinformatics, or computational biology, with the ability to clearly and effectively communicate scientific research to peers.</li><li>
Soft Skills: Excellent communication and collaboration skills, with the ability to operate effectively in ambiguous, fast-paced research environments and influence diverse stakeholders.</li></ul>
If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.
 
 
Compensation Overview: 
 
Cambridge Crossing: $166,770 - $202,086
 
 
The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee's work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.
 
 
Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit https://careers.bms.com/life-at-bms/.
 
 
Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. Our benefits include:
<ul><li>Health Coverage: Medical, pharmacy, dental, and vision care.</li><li>
Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
</li><li>Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.
</li></ul>Work-life benefits include:
 
 
Paid Time Off
<ul><li>US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees)
</li><li>Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays
</li></ul>Based on eligibility*, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day.
 
 
All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown. 
 
<ul><li>Eligibility Disclosure: T he summer hours program is for United States (U.S.) office-based employees due to the unique nature of their work. Summer hours are generally not available for field sales and manufacturing operations and may also be limited for the capability centers. Employees in remote-by-design or lab-based roles may be eligible for summer hours, depending on the nature of their work, and should discuss eligibility with their manager. Employees covered under a collective bargaining agreement should consult that document to determine if they are eligible. Contractors, leased workers and other service providers are not eligible to participate in the program.
</li></ul> 
Uniquely Interesting Work, Life-changing Careers 
With a single vision as inspiring as Transforming patients' lives through science&trade; , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. 
 
On-site Protocol 
 
BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:
 
 
Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.
 
 
Supporting People with Disabilities 
 
BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ eeo -accessibility to access our complete Equal Employment Opportunity statement.
 
 
Candidate Rights 
 
BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.
 
 
If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/
 
 
Data Protection 
 
We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection . 
 
Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations. 
 
If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at TAEnablement@bms.com . Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley.
 
 
R1600329 : Principal Scientist, Oncology Informatics, AI agents</div>

Principal Scientist, Oncology Informatics, AI agents

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