computational biologist

Genentech

<div><div><div>THE POSITION</div><p>
We advance science so that we all have more time with the people we love.</p><p></p><p>
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.</p><p></p><p><b>
The Opportunity:</b></p><p></p><p><b>
As an integral member of our dynamic team, you will be:</b></p><p></p><ul><li><p>
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.</p></li><li><p>
Developing methods to analyze and interpret new types of perturbation data.</p></li><li><p>
Applying statistics and machine learning to investigate data and extract biological insights.</p></li><li><p>
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</p></li></ul><p></p><p><b>
Who You Are:</b></p><p></p><ul><li><p>
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.</p></li><li><p>
Strong publication record of biological discovery and/or methods development.</p></li><li><p>
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.</p></li><li><p>
Comfortable with the statistical principles behind current best practices in high-throughput data analysis.</p></li><li><p>
Fluent in Python and/or R.</p></li><li><p>
Excellent communication and presentation skills.</p></li><li><p>
Able to work successfully in cross-functional teams to collaboratively solve complex problems.</p></li><li><p>
Passionate about applying your analytical skills to understand health and disease.</p></li></ul><p></p><p><b>
Preferred Experience:</b></p><p></p><ul><li><p>
Experience with in situ data (FISH or ISS barcode calling).</p></li><li><p>
Familiarity with image analysis frameworks or libraries (e.g., CellProfiler).</p></li><li><p>
Experience with genomic data including single cell RNA-seq and perturbation screens is a plus.</p></li><li><p>
Experience with applying machine learning to high throughput datasets is a plus.</p></li></ul><p></p><p>
Relocation benefits are available for this posting.</p><p></p><p>
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.</p><p></p><p>
Benefits</p><p></p><p>
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.</p><p></p><p>
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.</p></div><p></p>
<div><div>JOB FACTS
</div><div><div><ul><div><b>Job Sub Category</b><b>
</b><p>Research Informatics
</p></div><div><b>Schedule</b><b>
</b><p>Full time
</p></div><div><b>Job Type</b><b>
</b><p>Regular
</p></div><div><b>Posted Date</b><b>
</b><p>Apr 10th 2026
</p></div><div><b>Job ID</b><b>
</b><p>202604-108731</p></div></ul></div></div></div></div><p></p>

Computational Scientist 3 - Cell & Tissue Genomics

QRC Group, Inc

<div><b>Company Description</b><p><b><i><br>
QRC Group, LLC</i></b><i> is a firm dedicated to offer services to the Pharmaceutical, Medical Devices and Chemical Industries in the validation and regulatory fields.</i></p><p><i>
Log on now to our website http://www.</i><b><i>qrcgroup.com</i></b><i>/ to learn more about our services and solutions!</i></p><b><br>
Job Description</b><p><b><br>
Process Development Scientist </b>with relevant work experience in data analysis or related field (eg as a statistician, data scientist, computational biologist). Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct end-to-end analysis that includes data gathering and requirements specifications, processing, analysis, ongoing deliverables, and presentations. Experience with statistical software (e.g. R, MATLAB, SAS, Jump, Minitab) and database languages (e.g. SQL). Experience with statistical data analysis such as linear models, multivariate analysis, and stochastic models. Experience articulating business questions and using mathematical techniques to arrive at an answer using available data. Demonstrated skills in selecting the right statistical tools given a data analysis problem. Data system knowledge &ndash; OSIsoft PI / Spotfire/ OVDAS.</p><b><br>
Qualifications</b><br>
<ul><li>
Doctorate or Master + 2 years of Scientific experience or<br>
Bachelors + 4 years of Scientific experience</li><li>
Bilingual (Spanish/English)(Write/Speak)</li><li>
Data Analysis</li></ul><br>
<b>
Additional Information</b><p><br>
All your information will be kept confidential according to EEO guidelines.</p></div>

Process Development Scientist

Louisiana State University

<div></div><div><div><ul><li>New Orleans, Louisiana, United States
</li> </ul></div><div></div><div><ul><li>Fellows
</li> </ul></div><div></div><div><ul><li>Medicine</li></ul></div></div>
<br><div><p><b>Title:</b> RESEARCH FELLOW</p>
<p><b>
Employee Type: </b>Fellows</p>
<p><b>
Department:</b> Center of excellence-Cancer</p>
<p><b>
Campus Location:</b> CANCER CENTER/SETON BLDG./2025</p>
<p><b>
Job Summary/Basic Functions</b></p>
<p>
The LSU Cancer Center is seeking a Postdoctoral Research Fellow with strong quantitative training to lead and support computational and methodological development across several active projects in systems immunology, virology, and cancer biology. The Postdoctoral Fellow must be comfortable operating across big data (sequencing and imaging) to develop novel analytical pipelines rather than applying off-the-shelf tools. The Postdoctoral Fellow will work closely with the PI, other faculty, and collaborators on alternative and exploratory projects that require deep analytical thinking, algorithmic development, and integration of biological insight with computational rigor. Specifically, the Postdoctoral Fellow will play a central role in advancing PhIP-seq analysis pipelines, and image analysis &amp; deep learning development.</p>
<p><b>
Other Information About the Position</b></p>
<p>
The Postdoctoral Fellow will work in a highly collaborative, interdisciplinary environment.</p>
<div>
The position offers opportunities to:<br>
<ul><li>Lead first-author methodological manuscripts</li><li>Contribute to large NIH-funded, multi-omics projects</li><li>Develop skills applicable to academia, industry, or data science leadership roles</li><li>Help shape the computational infrastructure of a growing research program</li></ul></div>
<p><b>
Minimum Qualifications</b></p>
<p><b>
Required Education: </b>PhD or equivalent</p>
<p><b>
Required Field of Study: </b>Biomedical/Electrical Engineering, Bioinformatics, Systems Biology, Computer Science, or related field OR Basic or health science, or related field</p>
<p><b>
Substitution: </b>MD can substitute for a PhD</p>
<p><b>
Preferred Qualifications</b></p>
<p><b>
Preferred Experience:</b></p>
<ul><li>Strong proficiency in MATLAB, Python, and R</li><li>Experience with NGS data analysis and statistical modeling</li><li>Solid foundation in probability, statistics, and linear algebra</li><li>Ability to reason critically about bias, artifacts, and assumptions in high-throughput data</li><li>Comfortable working across biology, math, and computation</li><li>Experience with deep learning frameworks (PyTorch, TensorFlow, JAX)</li><li>Experience with HPC environments, GPUs, or large-scale data storage.</li></ul>
<p><b>
Additional Information About Our School/Department</b></p>
<p>
Comprehensive benefits are available to eligible employees and their dependents including health, life, dental, and vision insurance; flexible spending accounts; retirement plans; generous annual and sick leave; 14 paid holidays per year; and an employee health primary care clinic. See following link for more details on our benefits offerings: LSUHSC, New Orleans - Benefits
</p><p>Other employee benefits include a full-service credit union, wellness benefits featuring complimentary fitness center membership for employees and their spouses, employee assistance program, campus assistance program, and pet insurance option. More information about these benefits can be found on this webpage: Additional Benefits</p></div>

RESEARCH FELLOW

Sidra

<div><p><b>JOB SUMMARY
</b></p><p>The Investigator is mainly responsible for developing and implementing translational computational research programs for unravelling the complex relationship between the human genome, biological traits and diseases, focusing on Qatar and the MENA region, ultimately leading to novel therapeutic targets and approaches. Focus on building knowledge bases for nationwide interest involving high throughput omics data and reference datasets and panels enabling integrative data mining and complex investigation of a wide spectrum of biological and clinical research questions ranging from complex diseases such as cancer and autoimmune to rare diseases.
</p><p>She/he leads a team of bioinformaticians, scientists and software developers, and will be in charge of co-driving computational research at Sidra by building platforms, frameworks and protocols complying with current ethical and regulatory requirements, in collaboration with Sidra`s staff. The PI works closely with IT infrastructure teams to help bridge the link with other experimental researchers. S/he also coordinates with other staff regarding study design, sample collection, patient enrolment and follow-up. S/he provides computational support for the generation of data with the purpose of designing specific studies and supervises a team working on data analysis, integration, and interpretation, working in close contact with other scientists, research engineers, statisticians, project managers and staff clinicians.
</p><p>The successful candidate will bring proven experience in computational modeling and the integration of complex multi‑omics data, coupled with hands-on expertise in AI and machine learning methodologies. They will apply these approaches to address biological and translational research questions and contribute to the strategic development of data‑driven research programs.
</p><p>The PI participates in various scientific, managerial ad ethical committees at Sidra and externally with relevance to the research performed and assigned roles.
</p><p>S/he is also responsible for the promotion of the results generated by Sidra&rsquo;s studies among the scientific community. His/hers duty also includes the publication of the results in peer-reviewed journals and in other relevant scientific publications.</p></div><p></p>
<br><div><div>About US</div>
<div><div>Sidra Medicine a healthy population is essential to a strong, prosperous society, and throughout 2020, Sidra continued to provide uninterrupted comprehensive specialist healthcare services for children and young people; and exceptional maternity, gynecology, and reproductive medical services for women, previously unavailable in Qatar and the region.&rdquo; &ndash; H.H Sheikha Moza bint Nasser, Chairperson of Qatar Foundation
</div><div>Sidra Medicine represents the vision of Her Highness Sheikha Moza bint Nasser who serves as its Chairperson. This high-tech facility is home to world-class patient care, scientific expertise, and educational resources.</div></div></div><div></div>

Investigator - Associate Level

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.<br>
<br>
About the Position<br>
<br>
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.<p></p><p>
QUALIFICATIONS</p><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><p></p><p>
RESPONSIBILITIES</p><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

<p><b>Overview</b></p><p>Tract 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.</p><p><b>Key Responsibilities</b></p><p>&middot; Integrate genomics, proteomics, and epigenomics data to identify and validate novel therapeutic targets for small-molecule intervention.</p><p>&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.</p><p>&middot; Develop and maintain reproducible pipelines tailored for execution on standalone Linux servers.</p><p>&middot; Administer the company&rsquo;s on-premise multi-server Ubuntu environment, ensuring high availability and security for the R&amp;D team.</p><p>&middot; Partner with chemists and biologists to interpret biological data, guide mechanism-of- action studies, and support decision-making.</p><p><b>Required Qualifications</b></p><p>&middot; Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related field; OR M.S. with 3+ years of relevant industry experience.</p><p>&middot; Demonstrated experience with WGS, GWAS, ChIP-seq, or ATAC-seq analysis pipelines and biological interpretation.</p><p>&middot; Strong proficiency in Python and R for statistical analysis, algorithm development, and data visualization.</p><p>&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.</p><p><b>Preferred Qualifications</b></p><p>&middot; Ph.D. with 2+ years of post-graduate industry experience in biotech or pharma.</p><p>&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.</p><p>&middot; Deep understanding of molecular biology, immunology, or oncology</p><p>&middot; Proficiency with pipeline tools (Nextflow, Snakemake) and version control (Git).</p><p>&middot; Experience applying machine learning techniques or predictive modeling to identify patterns in high-dimensional biological datasets and prioritize therapeutic targets.</p><p>Pay: $110,000.00 - $130,000.00 per year</p><p>Benefits:</p><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><p>Application Question(s):</p><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><p>Demonstrated experience with WGS, GWAS, ChIP-seq, or ATAC-seq analysis pipelines and biological interpretation.</p><p>Strong proficiency in Python and R for statistical analysis, algorithm development, and data visualization.</p><p>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.</p><p>Deep understanding of molecular biology, immunology, or oncology.</p><p>Proficiency with pipeline tools (Nextflow, Snakemake) and version control (Git).</p><p>Experience applying machine learning techniques or predictive modeling to identify patterns in high-dimensional biological datasets and prioritize therapeutic targets.</p><p>Education:</p><ul><li>Doctorate (Preferred)</li></ul><p>Security clearance:</p><ul><li>Confidential (Required)</li></ul><p>Ability to Relocate:</p><ul><li>Charlotte, NC 28204: Relocate with an employer provided relocation package (Preferred)</li></ul><p>Work Location: In person</p>

Bioinformatics Scientist

General Dynamics Information Technology

<p></p><div><div><div><p>Your Impact</p><p>
Own your opportunity to work alongside federal civilian agencies. Make an impact by providing services that help the government ensure the well being and support of U.S. citizens.</p><p>
Job Description</p><div><p>
We are seeking a Scientific Computing Liaison to join a Scientific Technologies team supporting high-performance computing (HPC) and scientific research. This role serves as a critical bridge between researchers and HPC engineering staff, combining scientific domain knowledge with technical expertise to enable effective use of computational resources.</p><p></p><p>
The ideal candidate will work closely with investigators to understand their scientific workflows, guide them in leveraging HPC resources, and collaborate with engineering teams to optimize performance and usability of the HPC environments.</p><p></p><p>
This role is hybrid with 2-3 days a week onsite in Rockville, MD. Travel will not be reimbursed.
</p><p></p><p>Responsibilities:
</p><ul><li>Serve as the primary liaison between scientific users and the HPC engineering team</li><li>
Engage with researchers to understand computational workflows, analysis pipelines, and scientific objectives</li><li>
Guide users in effectively leveraging HPC resources and adopting best practices</li><li>
Assist in troubleshooting scientific applications, pipelines, and data analysis workflows</li><li>
Translate scientific requirements into actionable input for HPC engineering improvements</li><li>
Identify opportunities to enhance user experience, documentation, and service offerings</li></ul><p></p><p>
WHAT YOU&rsquo;LL NEED TO SUCCEED:</p><p>
Required qualifications:</p><ul><li>
Bachelor&rsquo;s degree in bioinformatics, computational biology, data science, or a related scientific field</li><li>
5+ years of hands-on experience with bioinformatics, scientific data analysis workflows, and/or related fields</li><li>
Familiarity with a variety of scientific software tools and analytical techniques</li><li>
Working knowledge of Unix/Linux-based environments and HPC systems (e.g., job schedulers, distributed computing)</li><li>
Experience in a customer-facing or service-oriented role supporting scientific users</li><li>
Ability to translate between scientific and technical audiences</li><li>
Ability to obtain and maintain a Public Trust</li></ul><p></p><p>
Desired skills and abilities:</p><ul><li>
Masters degree preferred</li><li>
Exposure to genomics, Cryo-EM data, or other large-scale biological datasets</li><li>
Familiarity with scripting languages such as Python, Bash, or R</li><li>
Experience optimizing or troubleshooting computational workflows</li><li>
Strong communication and problem-solving skills with a user-focused mindset</li><li>
Ability to manage multiple priorities and work effectively across teams</li><li>
Collaborative approach with a focus on enabling scientific outcomes</li></ul><p></p><p>
#GDITFedHealthJobs</p>
</div></div><div><div><div><p>Work Requirements</p></div></div><div></div><div><div>
Years of Experience<div>
5 + years of related experience</div><ul><li>may vary based on technical training, certification(s), <i>or</i> degree</li></ul></div><div></div><div>
Certification</div><p></p><div>
Travel Required<div>
None</div></div></div></div></div><div><p>
Salary and Benefit Information</p><div>
The likely salary range for this position is $107,744 - $132,250. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.<br>
View information about benefits and our total rewards program.</div><p>
About Our Work</p><div>
We are GDIT. A global technology and professional services company that delivers technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across over 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber and application development. Together with our customers, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.</div><div>
Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.</div><div><i>
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans</i></div></div></div>

Scientific Computing Liaison

Search 156+ Computational biologist jobs near you this April. New roles added regularly across leading industries. Apply today.