genomics scientist

Retro Biosciences

<div><div>Retro develops therapies for diseases driven by the biology of aging. We focus on cellular reprogramming and autophagy to rejuvenate cell and tissue function with the ultimate aim of adding 10 years to healthy human lifespan.</div><div></div><div><br>
We're building a mission-driven team of accomplished and kind individuals who embrace our startup culture of rapid iteration, transparency, and versatility.</div><div></div><div><br>
We are hiring a high-agency scientist to build genomics platforms that drive the discovery of therapies that rejuvenate cells and tissues. You'll own sequencing workflows end-to-end, working closely with automation and computational scientists to scale what you build and generate the data that enables our frontier models.</div><div></div><div><b><br>
About you:</b></div><div></div><div><br>
You want to drive the experimental direction for a research program, not wait to be handed a plan. You're happiest at the bench, building assays, troubleshooting failures, and generating data. You don't just run protocols; you take them apart and make them work for new contexts. You're excited to collaborate with computational scientists and automation engineers, but your core identity is as an experimentalist. You want to work on something ambitious enough that it might not work, and you can't think of anything more worth trying than extending healthy human lifespan.</div><br>
<div></div>
<h3 class="jobSectionHeader"><b>
In this role, you will:</b></h3><ul><li>
Design, execute, and optimize diverse genomics experiments (RNA-seq, ATAC-seq, single-cell assays), owning the full process from sample preparation through library construction, sequencing, and QC.</li><li>
Build custom genomics platforms that give us the readouts we need when off-the-shelf methods fall short.</li><li>
Culture and treat cells for screening campaigns, running functional assays alongside genomic readouts to validate hits.</li><li>
Partner with automation engineers to transfer genomics protocols to automated platforms, enabling systematic discovery at scale.</li><li>
Collaborate with computational scientists to generate the data that trains predictive models and guides the next round of experiments.</li></ul><h3 class="jobSectionHeader"><b>
You might thrive in this role if you:</b></h3><ul><li>
Have a Ph.D. in Biology, Genomics, or a related discipline (anyone with an exceptional track record of building genomics technologies welcome).</li><li>
Have deep experience with NGS library prep, sequencing, and QC.</li><li>
Have experience with cell culture and molecular characterization techniques.</li><li>
Have worked with single-cell technologies (10x Genomics or similar).</li><li>
Have experience with epigenomics assays (ATAC-seq, CUT&amp;Tag, or methylation profiling).</li><li>
Have worked with reprogramming or differentiation systems.</li><li>
Have a track record of adapting protocols from literature and making them work in new contexts.</li><li>
Are a generalist who learns quickly and enjoys working across different problem types.</li><li>
Are comfortable with ambiguity, move fast, and can drive projects forward independently.</li></ul><h3 class="jobSectionHeader"><b>
It's a bonus if you:</b></h3><ul><li>
Have developed novel assays or measurement technologies.</li><li>
Have worked with high-throughput screening or transferred manual protocols to automated platforms.</li><li>
Have computational skills (Python, R) for basic data QC and visualization.</li><li>
Have a history of working with cross-disciplinary teams (computational, automation, engineering).</li></ul><div>
At Retro, we don't use titles. New hires join as a &quot;Member of X Team&quot;.</div><div></div><div><br>
Total compensation also includes generous equity and benefits including:</div><div></div><ul><li><br>
Medical, dental, and vision insurance for you and your family</li><li>401(k) plan with 4% matching</li><li>Flexible time off and 10 company holidays per year</li><li>Paid parental leave</li><li>Annual learning &amp; development stipend</li><li>Monthly Longevity stipend</li><li>Daily Retro-sponsored lunch and snacks</li></ul><div></div><div><br>
We take pride in cultivating an environment that fosters collaboration, open communication, and authenticity. We believe that great results are best delivered by a highly creative team working in concert. We are an equal opportunity employer; we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are diverse in background and singular in mission.</div>
<p>
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.</p></div>

Scientist, Genomics

MARC

<div>
 MARC for Medical Services and Scientific Research is an integrative research center that aims to advance science by conducting research in interdisciplinary disease areas. Our goal is to conduct high-priority and ethical basic, preclinical and clinical research, bridging the gap between science and community to improve health and quality of life.
 <br/>
 <br/>
 MARC is looking to have an experienced candidate for
 <strong>
  Bioinformatics Scientist
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Key responsibilities:
  </li>
  <li>
   Lead research projects and experiments
  </li>
  <li>
   Supervise and mentor the lab team (senior and junior researchers)
  </li>
  <li>
   Manage project timelines, resources, and budgets
  </li>
  <li>
   Ensure safety and compliance in the lab
  </li>
  <li>
   Present research results and findings
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   PhD in bioinformatics, computational biology, or any biomedical field related to genomics (e.g., pharmacogenomics, biotechnology, health informatics)
  </li>
  <li>
   0-2 years after PhD in the specialty
  </li>
  <li>
   Fulfill one of the following:
  </li>
  <li>
   Publication record (H-index &ge; 3), with at least one first-authored paper
  </li>
  <li>
   Assistance in a grant
  </li>
 </ul>
</div>


Bioinformatics Scientist

St. Jude Children's Research Hospital

<div><b>Job Description</b><br>
<br>
We are seeking a highly motivated computational biologist to join our lab at St. Jude Children's Research Hospital to lead genomic and single-cell analysis for projects focused on bacterial heterogeneity, microbiome interactions, antibiotic response, and genome architecture.<br>
Our group develops and applies cutting-edge bacterial single-cell RNA-seq platforms, long-read sequencing, and functional genomics to uncover how pathogens adapt in hosts and respond to drugs. This position is ideal for someone who wants to drive analysis, shape biological stories, and grow into a senior computational scientist in a hybrid experimental-computational environment.<br>
<br>
<b>What You Will Do
</b><br>
<br>
<ul><li>Lead analysis of microbiome datasets (metagenomics, strain-level profiling, 16S).</li></ul><br>
<ul><li>Analyze bacterial scRNA-seq and long-read transcriptomic data.</li></ul><br>
<ul><li>Detect and interpret structural variation from Nanopore/PacBio sequencing.</li></ul><br>
<ul><li>Build scalable, reproducible pipelines for large genome collections and public databases.</li></ul><br>
<ul><li>Collaborate closely with experimental scientists to frame hypotheses and interpret results.</li></ul><br>
<ul><li>Co-author high-impact manuscripts and grant proposals.</li></ul><br>
<ul><li>Mentor trainees developing computational skills.</li></ul><br>
<b>
We Are Looking For Someone Who
</b><br>
<br>
<ul><li>Has a PhD in computational biology, genomics, bioinformatics, microbiology, or a related field.</li></ul><br>
<ul><li>Is fluent in Python/R and Unix-based workflows.</li></ul><br>
<ul><li>Has experience with microbial genomics, metagenomics, or long-read sequencing.</li></ul><br>
<ul><li>Can design analyses independently and anticipate reviewer concerns.</li></ul><br>
<ul><li>Enjoys shaping projects scientifically-not just executing tasks.</li></ul><br>
<b>
Especially Excited If You Have
</b><br>
<br>
<ul><li>Experience with RNA-seq.</li></ul><br>
<ul><li>Structural-variant detection or genome architecture analysis.</li></ul><br>
<ul><li>Workflow frameworks (Snakemake, Nextflow, WDL).</li></ul><br>
<ul><li>Large-scale comparative genomics.</li></ul><br>
This is a leadership-track computational role for someone who wants to define a research program inside a fast-moving, biology-driven lab.<br>
<br>
St. Jude is an Equal Opportunity Employer
<br>
<br>
<b>No Search Firms</b>
<br>
<br>
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>

Postdoctoral Research Associate -Microbiome, Bacterial Genomics, and Single-Cell Genomics

AgSource

<div><div><div><div>JOB DESCRIPTION<br>
URUS is seeking a Computational Biologist to join our Innovation group as part of the team focused on Genetic Advancement and Trait Discovery. This role is suited for a creative and career motivated individual who brings strong expertise across multiple disciplines of genomics, bioinformatics, and systems biology. The successful candidate will lead the integration, analyses and interpretation of genomic and multi-omics data to identify biological pathways, DNA sequence motifs or genomic variation for rationale design of genetic traits to express phenotypes that significantly improve fertility, protein quality, health or well-being across cattle breeding systems.<br>
</div></div><div></div><div><div>Acceligen &reg;, as part of the URUS group of brands, is the global leader for deployment of gene-edited traits in cattle. Acceligen has more than a decade of proven commercial expertise in trait deployment through new breeding technologies and advanced reproductive technologies. Acceligen works within a collaborative environment that includes URUS Digital, PEAK Genetics, Trans Ova Genetics, Leachman Cattle CO., and VAS with a common goal to breed &ldquo;Better Cows for a Better World&rdquo;. The incumbent will report to the Chief Science Officer of Acceligen , who leads the Genetic Advancement and Trait Discovery team as part of the Innovation group at URUS. This position will be based in Madison, WI or New Brighton, MN.<br>
</div></div><div></div><div><div><b>RESPONSIBILITIES<br>
</b></div></div><p></p><div><div>The main objectives of our Innovation team are to better understand genomics and genetics at the molecular level and apply these findings to accelerate genetic improvement and reproductive efficiencies of select proprietary lineages of dairy and beef cattle.<br>
</div></div><div></div><div><div>The Computational Biologists' goals are to deliver tools and knowledge that facilitate commercial implementation for advancing these goals in the URUS breeding program. The complex nature of the research requires a scientist with a blend of strong biology fundamentals and advanced tech skills (Python/R, ML, stats, databases, high-performance computing) to analyze large biological datasets, model complex systems, and develop predictive tools, alongside possessing creative analytical and problem-solving abilities and interdisciplinary communication skills to bridge biology and computer science for breakthroughs of economic importance to cattle genetics.<br>
</div></div><div></div><div><div><b>PROFESSIONAL QUALIFICATIONS AND EXPERIENCE<br>
</b></div></div><p></p><div><ul><li><div>Ph.D. in Computational Biology, Systems Biology, Genome Science, or a related field .
</div></li><li><div>Biology: Deep understanding of genetics, molecular biology, biochemistry, cellular functions, and organismal systems.
</div></li><li><div>Mathematics &amp; Statistics: Expertise in probability, statistical modeling, and algorithm design.
</div></li><li><div>Computer Science: Principles of programming, data structures, algorithms, high-performance computing (HPC), and database management.
</div></li><li><div>Bioinformatics: Knowledge of specific tools, databases, and analysis methods for genomic/proteomic data.
</div></li><li><div>Livestock Genetics and Genomics: Knowledge and experience in working with genomic and genetic data from food animals is preferred.
</div></li><li><div>Programming: Proficiency in languages like Python (with libraries like Pandas, NumPy, scikit-learn) and R. E xperience managing bioinformatics pipelines in Unix/Linux environments.
</div></li><li><div>Data Analysis &amp; Machine Learning: Strong skills in data mining, machine learning (deep learning, pattern recognition), and biostatistics. Proficient in genome-wide association studies (GWAS) and fine-mapping methods to identify causal variants and regulatory regions. Proven experience in identifying causal variants is preferred.
</div></li><li><div>Data Handling: Ability to manage, integrate, analyze, and visualize large, complex datasets (e.g., Next- Gen Sequencing data and other Omics datasets). Knowledge of Snakemake , Microsoft Azure and Azure Databricks is preferred.
</div></li><li><div>Modeling &amp; Simulation: Experience with mathematical modeling of biological processes and molecular dynamics.
</div></li><li><div>Problem-Solving: Excellent analytical thinking to translate biological questions into computational problems (e.g. demonstrated skill to integrate multi-omics datasets to identify target genes or regulatory motifs/mechanisms within the expressed genome that link genotype to phenotype).
</div></li><li><div>Communication &amp; Collaboration: Required communication skills are fluency in English. Ability to explain complex technical findings to both technical and non-technical audiences. Includes working and communicating within interdisciplinary teams (e.g., molecular and quantitative geneticists, data scientists, and reproductive biologists). Incumbent is solely responsible for analyzing, interpreting, and reporting research data. Results, in the form of manuscripts, reports, and presentations at scientific meetings, are considered authoritative and technically accurate.
</div></li><li><div>Research Acumen: Skill in formulating hypotheses, finding relevant data, and designing computational experiments.
</div></li><li><div>Adaptability: Eagerness to learn new methods and tools to tackle evolving biological challenges.
</div></li><li><div>Attention to Detail: Precision in coding, data interpretation, and validation.
</div></li><li><div>Strategic Planning for Innovation:
</div></li><li><div>Incumbent is responsible for planning specific research approaches and designing experimental schemes to achieve research objectives.
</div></li><li><div>Contribute to long-term research planning and innovation strategies, which include active participation in team and cross-functional meetings.
</div></li><li><div>Originality and creativity are required to integrate appropriate company resources, methodologies , technologies into a cohesive set of analyses that successfully characterize genome structure and function.
</div></li><li><div>Originality and creativity are also required to integrate complex datasets from separate functional and structural genome studies into a federated database that channel subsequent studies towards elucidating how alterations in complex biological processes affect phenotypic expression.</div></li></ul></div></div></div>

Computational Biologist

Aganitha AI

<div><div><div><h4 class="jobSectionHeader"><b>Join us and contribute to the discovery of medicines that will impact lives!</b></h4>
</div></div><div></div><div><div><div><div><div><div><h3 class="jobSectionHeader"><b>Hyderabad, India | Hybrid | Full-Time
</b></h3></div></div></div></div></div></div><div></div><div><div><div><div><div><div><h3 class="jobSectionHeader"><b>About Aganitha</b></h3>
</div></div><div><div><p><b>Accelerate drug discovery and development for Biopharma and Biotech R&amp;D with </b><b><i>in silico</i></b><b> solutions leveraging Computational Biology &amp; Chemistry, High throughput Sciences, AI, ML, HPC, Cloud, Data, and DevOps.</b></p><p><i>
In silico</i> solutions are transforming the biopharma and biotech industries. Our cross-domain science and technology team of experts embark upon and industrialize this transformation. We continually expand our world-class multi-disciplinary team in Genomics, AI, and Cloud computing, accelerating drug discovery and development. What drives us is the joy of working in an innovation-rich, research-powered startup bridging multiple disciplines to bring medicines faster for human use. We are working with several innovative Biopharma companies and expanding our client base globally. Read about how and what solutions we build.</p><p><i>
Aganitha (अगणित): &ldquo;countless&rdquo; or &ldquo;limitless&rdquo; in Sanskrit serves as a reminder and inspiration about the limitless potential in each one of us. Come join us to bring out your best and be limitless!</i></p>
</div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Role Overview
</b></h3>
</div></div><div><div><p>We are looking for scientists who can apply <b>AI/ML to biological and genomic data</b> to solve real-world challenges in disease research and therapeutics.</p>
</div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Key Responsibilities</b></h3>
</div></div><div><div><ul><li>Develop and deploy AI/ML models on large-scale biological and genomic datasets, leveraging deep learning and statistical approaches to generate predictive and disease-relevant insights.</li><li>
Design and execute population genomics analyses (WES/WGS, GWAS, QTL, PRS, variant analysis) to understand disease mechanisms and identify clinically relevant signals.</li><li>
Apply in-silico and AI-driven methods to support therapeutic discovery, biomarker identification, modeling biological systems, designing and optimizing antibodies, RNA, or related modalities.</li><li>
Curate, integrate, featurise and preprocess complex datasets from experiments, literature, and public repositories to ensure high-quality inputs for modeling and analysis.</li><li>
Validate, benchmark, and interpret model outputs against biological data and research objectives, translating results into actionable scientific insights.</li><li>
Collaborate with cross-functional teams including bioinformaticians, computational chemists, data scientists, and wet-lab researchers to deliver end-to-end solutions.</li><li>
Stay current with advancements in AI/ML, genomics, and computational biology, and apply emerging methods to enhance research and discovery outcomes.</li></ul>
</div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Required Qualifications</b></h3>
</div></div><div><div><ul><li>PhD / Postdoc in Genomics, Bioinformatics, Computational Biology, Biochemistry, Applied Mathematics/Statistics, or related fields</li><li>
Strong Python programming skills with solid ML/DL fundamentals</li><li>
Experience working with statistical genomics tools (PLINK, HAIL, Glow) and large biological/genomic datasets</li></ul>
</div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Preferred Qualifications</b></h3>
</div></div><div><div><ul><li>Experience with PyTorch, TensorFlow, or scikit-learn</li><li>
Exposure to HPC or cloud platforms (AWS, GCP, Azure), Linux environments, and Docker</li><li>
Prior experience applying AI/ML in disease research, genomics, or therapeutic discovery</li></ul></div></div></div></div></div></div></div><p></p>

Scientist (AI Modeling (Bio/Genomics)

Marc

<div><p>MARC for Medical Services and Scientific Research is an integrative research center that aims to advance science by conducting research in interdisciplinary disease areas. Our goal is to conduct high-priority and ethical basic, preclinical and clinical research, bridging the gap between science and community to improve health and quality of life.</p><p></p><p>
MARC is looking to have an experienced candidate for <b>Bioinformatics Scientist</b>
</p><p></p><ul><li><b>Key responsibilities:</b></li></ul><ul>
<li>Lead research projects and experiments.</li>
<li>Supervise and mentor the lab team (senior and junior researchers).</li>
<li>Manage project timelines, resources, and budgets.</li>
<li>Ensure safety and compliance in the lab.</li>
<li>Present research results and findings</li>
</ul><p><b>
Requirements</b></p><ul>
<li>
PhD in bioinformatics, computational biology, or any biomedical field related to genomics (e.g., pharmacogenomics, biotechnology, health informatics)</li>
<li>0-2 years after PhD in the specialty</li>
<li><b>Fulfill </b><b>one</b><b> of the following:</b><br>
<ul><li>Publication record (H-index 3), with at least one first-authored paper</li><li>Assistance in a grant</li></ul></li></ul></div>

University of California Los Angeles

<div>Job #JPF10884
<ul><li>Biomathematics / David Geffen School Of Medicin / UCLA</li></ul></div>
<br><div><p>POSITION OVERVIEW</p>
<b>Position title:</b> Assistant Project Scientist
<div><b>Salary range:</b> $76,700-$89,000
</div><div><p>APPLICATION WINDOW</p><b>
</b></div><div><p><b>Open date: </b>March 2, 2026
</p></div><div><p><b>Next review date:</b> Wednesday, Apr 1, 2026 at 11:59pm (Pacific Time)<br>
Apply by this date to ensure full consideration by the committee.
</p></div><div><p><b>Final date: </b>Wednesday, Apr 1, 2026 at 11:59pm (Pacific Time)<br>
Applications will continue to be accepted until this date.
</p></div><p>POSITION DESCRIPTION</p>
<div><div><p>Assistant Project Scientist to work in Department of Computational Medicine. Individual will use computational methods to develop next-generation pandemic response tools. Ph.D. degree in mathematics, computer science, genomics, biomathematics, or related field required.</p>
</div></div>
<p>QUALIFICATIONS</p>
<div><b>Basic qualifications</b>
<div><p>Ph.D. degree in mathematics, computer science, genomics, biomathematics, or related field required.</p>
</div>
</div><p>APPLICATION REQUIREMENTS</p>
<div><div><b>Document requirements</b>
<ul><li><div><p>Curriculum Vitae - Your most recently updated C.V.
</p></div></li><li><div><p>Cover Letter</p>
</div></li><li><div><p>
Statement of Research</p>
</div></li><li><div><p>
Reference check authorization release form - Complete and upload the reference check authorization release form
</p></div></li><li><div><p>UCLA Mission Statement - As the nation's premier public research university, UC's mission is the creation, dissemination, preservation and application of knowledge for the betterment of our global society. We have a particular responsibility to the people of California which we express in the excellence of the education we provide, the impact of the research we do, the comprehensive, life-saving medical services we provide, and the public service mission we are devoted to. The University of California promotes the social mobility of its students, equips them with the tools and experience that furthers their ambitions, and regards their accomplishments across the life span as evidence of the profoundly positive impact of higher education.
</p><p>The UCLA campus has expressed these goals in its strategic plan as follows:
</p><p>Deepen our engagement with Los Angeles
<br>
Expand our reach as a global university
<br>
Enhance our research and creative activities
<br>
Elevate how we teach
<br>
Become a more effective institution
</p><p><b>Prompt for candidates for recruitment:</b>
</p><p>Reflecting on your personal and professional experiences, highlight your past contributions and future commitments to advancing UCLA's mission as embodied in the 2023-28 strategic plan. These accomplishments and ambitions may be discussed in the context of describing your teaching, scholarship, and service
</p></div></li><li><div><p>Statement of Teaching (Optional)</p>
</div></li></ul>
</div><div><div><b>Reference requirements</b></div><ul><li>
3-5 required (contact information only)</li></ul><div><p>
Request contact information for 3 references</p>
</div></div>
<b>Apply link:</b> https://recruit.apo.ucla.edu/JPF10884
</div>
<div><p><b>Help contact:</b> mlucas@mednet.ucla.edu</p>
</div>
<p>ABOUT UCLA</p>
<div>
<div><p>As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
</p><p>The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.</p>
<p>As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.</p>
<ul><li>&ldquo;Misconduct&rdquo; means any violation of the policies or laws governing conduct at the applicant&rsquo;s previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer.</li>
<li>UC Sexual Violence and Sexual Harassment Policy
</li><li>UC Anti-Discrimination Policy for Employees, Students and Third Parties
</li><li>APM - 035: Affirmative Action and Nondiscrimination in Employment</li>
</ul></div></div><p>JOB LOCATION</p>
<div>Los Angeles, CA</div></div>

Assistant Project Scientist (VA)

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622 genomics scientist jobs Near Me

Scientist, Genomics

Bioinformatics Scientist

Postdoctoral Research Associate -Microbiome, Bacterial Genomics, and Single-Cell Genomics

Computational Biologist

Scientist (AI Modeling (Bio/Genomics)

Bioinformatics Scientist

Assistant Project Scientist (VA)