computational biologist

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

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

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)

Michigan State University

<div></div><div><div><div><div><div><ul><li>East Lansing, Michigan, United States
</li> </ul></div><div></div><div><ul><li>Great Lakes Bioenergy Researc Ctr Vprgs 10059425
</li> </ul></div><div></div><div><ul><li>Area of Interest: Research/Scientific
</li> <div></div><li>Full Time/Part Time: Full Time (90-100%)
</li> <div></div><li>Group: Fixed Term Academic Staff</li></ul><div></div><div><div><b><br>
</b></div>
 </div></div><div></div><div><ul><li>Faculty/Academic Staff
</li> </ul></div><div></div><div><ul><li>Opening on: Feb 23 2026
</li> <div></div><li>Closing at: Feb 23 2028 - 23:55 EST
</li> </ul></div><div></div><div><ul><li>Salary Commensurate with Experience
</li> </ul></div><div></div><div><ul><li>Research And Innovation
</li> <div></div><li>1114907</li></ul></div></div><div></div><div><div><div><b><br>
</b></div></div><div></div><div><b>
</b></div></div><div><h3 class="jobSectionHeader"><b>Position Summary</b></h3>
<div>
A Postdoctoral Scholar position is available in our Shiu Lab at Michigan State University, as part of the Great Lakes Bioenergy Research Center (GLBRC, <p><b>www.glbrc.org</b></p>).</div>
<p>
We seek a motivated candidate to join our lab to maximize switchgrass productivity. The research will focus on determining the physiological and genetic mechanisms of switchgrass overwinter survival, as well as optimizing switchgrass yields and biomass quality. The postdoctoral researcher will accomplish the above goals through collecting and analyzing switchgrass multi-omics and trait data with computational approaches, particularly machine learning and related artificial intelligence (AI) methods to establish trait prediction models. In addition, the postdoctoral scholar will interpret the modeling results with explainable AI to identify underlying genetic mechanisms and candidate genes important for switchgrass resilience, biomass, and yields.</p>
<p><b>
Job responsibilities</b></p>
<p>
The candidate will be responsible to:</p>
<div>
<ul><li>Oversee data collection and analysis</li></ul>
<ul><li>Interpret and report results in lab meetings, symposiums, posters, and publications</li></ul>
<ul><li>Mentor junior scientists and students in scientific research</li></ul>
<ul><li>Develop ideas for new, future research directions</li></ul>
</div><h3 class="jobSectionHeader"><b>Equal Employment Opportunity Statement</b></h3>
<p>
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status.</p>
<h3 class="jobSectionHeader"><b>
Required Degree</b></h3>
<p>
Terminal -PhD in plant computational biology or closely related field.</p>
<h3 class="jobSectionHeader"><b>
Minimum Requirements</b></h3>
<ul><li>PhD in plant computational biology or closely related field.</li>
<li>Demonstrated research experiences in plant computational biology and the use of machine learning and related AI approaches, particularly explainable AI</li>
<li>Strong written and oral communication skills to collaborate and communicate effectively with a team of researchers from diverse scientific backgrounds.</li>
<li>Publications demonstrating expertise in plant computational biology</li>
<li>Publications demonstrating the use of machine learning and related AI approaches, particularly explainable AI</li>
<li>Publications demonstrating experiences in analyzing multi-omics data and their integration</li>
</ul><h3 class="jobSectionHeader"><b>Required Application Materials</b></h3>
<p>
A current CV, cover letter/letter of interest (2 pages max), and contact details for 3 professional references.</p>
<h3 class="jobSectionHeader"><b>
Special Instructions</b></h3>
<p>
At GLBRC, we strive to provide holistic and well-rounded experience to our postdoctoral researchers, and we recognize the importance of supporting their professional development needs to ensure their successful transition to the career of their choosing. To complement the scientific training received in their lab, postdocs at GLBRC can:</p>
<ul>
<li>Attend and present at scientific research symposiums and/or conferences.</li>
<li>Access cross-discipline research environments and training opportunities within GLBRC and cross-BRCs.</li>
<li>Benefit from integrated career and professional development support.</li>
<li>Participate in Outreach and Community Engagement opportunities.</li>
</ul>
<div><p>As an institution of higher learning, Michigan State University is committed to providing a safe environment for its students, faculty, and staff in support of its educational mission. With this commitment, the University conducts criminal background checks and professional misconduct reviews of all applicants for employment in faculty, academic staff, and executive management searches.</p>
</div>
<div><p><i>Professional Misconduct Review</i></p>
</div>
<div><p>A professional misconduct review is a prerequisite for a candidate to be selected for this position. Applicants will be asked to disclose whether they are subject to any pending investigation, findings or sanctions related to professional misconduct. Professional misconduct includes misconduct related to a person&rsquo;s employment, including, but not limited to, theft, embezzlement, research integrity, discrimination, or harassment under civil rights laws and policies, including protected identity harassment, sexual harassment, sexual misconduct (sexual assault, sexual exploitation, dating violence, domestic violence, stalking, etc.), and retaliation. All applicants will be asked to sign an authorization and release, which authorizes the University to contact the candidate&rsquo;s current and former employers, for a period of 7 years prior to the date of application, related to any pending investigations, findings of responsibility and/or sanctions related to professional misconduct. Nothing will be sent to current or former employers unless the candidate reaches the semi-finalist stage.</p>
</div>
<div><p>The existence of professional misconduct history does not automatically exclude a candidate from employment. The University will assess the history, including any information provided by the candidate, in determining whether it is compatible with the position. The University may decline to hire a candidate based on the professional misconduct review. All records obtained from external employers will be kept in a secure location, separate from personnel files. If an applicant fails to sign the authorization and release, the application will be deemed incomplete and will be withdrawn.</p>
</div>
<h3 class="jobSectionHeader"><b>Review of Applications Begins On</b></h3>
<p>
03/16/2026</p>
<h3 class="jobSectionHeader"><b>
Website</b></h3>
<p>
https://www.glbrc.org/</p>
<h3 class="jobSectionHeader"><b>
Department Statement</b></h3>
<div>
The Great Lakes Bioenergy Research Center (GLBRC, <p><b>www.glbrc.org</b></p>) is a cross-disciplinary and integrated research center funded by the U.S. Department of Energy (DOE) and led by the University of Wisconsin&ndash;Madison. With Michigan State University as a primary partner, GLBRC draws on the expertise of over 400 scientists to address today&rsquo;s greatest challenges to produce transportation fuels and high-value chemicals while reducing greenhouse gas emissions.</div>
<p>
Within the DOE-funded Bioenergy Research Centers (BRCs) program, GLBRC collaborates with three other BRCs, each led by a DOE National Laboratory or a top university. Interactions between the centers help forge strong partnerships within the bioenergy research community in the U.S. and abroad, as well as with industry and government partners.</p>
<p>
GLBRC is committed to fostering a diverse, equitable, and inclusive environment that welcomes and supports everyone. We believe that a diverse research community is a prerequisite to conducting the foundational innovation necessary to achieve our mission. We strongly encourage applications from candidates who foster and promote these values.</p>
<h3 class="jobSectionHeader"><b>
MSU Statement</b></h3>
<p>
Michigan State University has been advancing the common good with uncommon will for more than 160 years. One of the top research universities in the world, MSU pushes the boundaries of discovery and forges enduring partnerships to solve the most pressing global challenges while providing life-changing opportunities to a diverse and inclusive academic community through more than 200 programs of study in 17 degree-granting colleges.</p></div></div></div></div>

Postdoctoral Scholar-Fixed Term

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><p><b>KEY ROLE ACCOUNTABILITIES
</b></p><ul><li>Makes decisions about computational research strategies and initiation and implementation of research projects and programs.
</li><li>Establishes and leads programs of computational biology research related to Sidra&rsquo;s research strategy.
</li><li>Supervises and trains staff scientists, researchers, postdocs, software developers, students and trainees.
</li><li>Works with other scientists in existing programs such as Qatar Genome Program.
</li><li>Collaborates closely with other research and clinical departments to develop research initiatives.
</li><li>Develops and implements research proposals related to Sidra's research strategy.
</li><li>Collaborates with other investigators in the development of research proposals.
</li><li>Secures / applies for funding and other resources.
</li><li>Responsible for laboratories and other research facilities directly connected with research program.
</li><li>Publishes regularly in local and international peer-reviewed journals.
</li><li>Presents regularly at local and international scientific conferences.
</li><li>Develops novel and relevant approaches to systems genetics and genomics research.
</li><li>Regularly attends group and department meetings.
</li><li>Attends Sidra committees when appropriate.
</li><li>Adheres to Sidra&rsquo;s standards as they appear in the Code of Conduct and Conflict of Interest policies
</li><li><p>Adheres to and promotes Sidra&rsquo;s Values.<br>
</p></li></ul><p></p><p><b>QUALIFICATIONS, EXPERIENCE AND SKILLS &ndash; SELECTION CRITERIA
</b></p><p>Education
</p><p>ESSENTIAL <b>: </b>Ph. D degree.
</p><p>Track record in computational biology research in academia or pharmaceutical industry.
</p><p>Research Fellowships.
</p><p>PREFERRED <b>: </b>Formal post-doctoral training
</p><p>Formal training in genetics.
</p><p>Experience
</p><p>ESSENTIAL <b>: </b>PhD plus 8+ years of experience / MD plus PhD plus 3 years of experience / MD plus 8+ years of experience
</p><p>Must demonstrate strong credentials in competitive funding, publications in peer-reviewed journals, and be recognized for excellence in professional circles in research, and service to the scientific community.
</p><p>Participated in large international research consortia
</p><p>Must have authored and/or co-authored high impact peer-reviewed research articles
</p><p>Recognition for scientific excellence and effective teamwork in one or more world-class research institutions
</p><p>PREFERRED <b>: </b>Experience at a major Qatari healthcare organization
</p><p>Job Specific Skills and Abilities
</p><p>ESSENTIAL <b>: </b>Demonstrated excellent people management skills
</p><p>Excellent communication skills, both verbal and written
</p><p>Excellent methodological skills
</p><p>Demonstrated ability to conduct clinical research within the Arabian Gulf
</p><p>Proficiency in Microsoft Office suite
</p><p>Fluency in written and spoken English
</p><p>PREFERRED: Knowledge of Arabic culture.</p></div>
<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

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>

Bioinformatics Scientist

United Arab Emirates University

Job Description
<br><br>
Provides computational support to animal and poultry genomics projects, focusing on data processing, GWAS pipelines, and basic downstream analyses.
<br><br>
Minimum Qualification
<br><br>
<ul>
<li>Ph.D/MSc in Bioinformatics, Computational Biology, or related field. • Working knowledge of Python or R. • Familiarity with genomics tools is preferred.</li>
</ul>
Preferred Qualification
<br><br>
<ul>
<li>Ph.D/MSc in Bioinformatics, Computational Biology, or related field. • Working knowledge of Python or R. • Familiarity with genomics tools is preferred.</li>
</ul>
Expected Skills
<br><br>
<ul>
<li>Perform sequencing QC, alignment, and variant calling. • Assist with GWAS and genotype–phenotype association workflows. • Generate summary statistics, plots, and basic visualizations. • Maintain scripts and documentation. • Support Research Associates with data interpretation.</li>
</ul>
Close Date Kindly apply before the closing date.
<br><br>
30/04/2026

Junior Bioinformatics Research Associate Animal and Poultry

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