computational biologist

Hays

<div>
 <p>
  <strong>
   Senior Computational Biologist (AI/ML)
  </strong>
 </p>
 <p>
  <strong>
   United Arab Emirates
  </strong>
 </p>
 <p>
  <strong>
   Health Tech
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   ** This role is open to candidates to work remotely with regular travel to UAE OR relocate to the UAE permanently **
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are currently looking for a Senior Computational Biologist / Scientist to join a health tech company based out of Dubai.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Technical experience needed:
  </strong>
 </p>
 <ul>
  <li>
   Solid Python programming experience
  </li>
  <li>
   Proven AI experience (des, build, deploy)
  </li>
  <li>
   Rosetta / PyRosetta / AlphaFold, Schr&ouml;dinger etc.
  </li>
  <li>
   Antibody modeling
  </li>
  <li>
   Machine Learning &amp; Deep Learning (+ Docker)
  </li>
  <li>
   Protein to protein interaction, structure prediction &amp; engineering
  </li>
  <li>
   Molecular simulation techniques
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Education
  </strong>
 </p>
 <ul>
  <li>
   PhD Bioinformatics or other relevant scientific degree
  </li>
  <li>
   Proven background in research and publications
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  If you feel like you have the above skills and experience please apply and share your CV with us so that we can arrange a confidential conversation.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   **Only applicants with the relevant skillset will be contacted**
  </strong>
 </p>
</div>


Senior Computational Biologist (AI/ML)

Broad Institute

<div><div><div><div><h3 class="jobSectionHeader"><b>General information
</b></h3></div></div><div><div><div><div>Location
</div><div>Cambridge, MA
</div></div><div><div>Ref #
</div><div>43249
</div></div><div><div>Job Family
</div><div>Research
</div></div><div><div>Workplace
</div><div>Hybrid
</div></div><div><div>Date published
</div><div>11/10/2025
</div></div><div><div>Time Type
</div><div>Full time
</div></div><div><div>Pay Range
</div><div>58,000 - 80,667 Usd Annual
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Description &amp; Requirements
</b></h3></div></div><div><div><div><div><p>The Talkowski laboratory, based in the Stanley Center for Psychiatric Research at the Broad Institute and in the Center for Genomic Medicine (CGM) at Massachusetts General Hospital (MGH), is seeking exceptional computational associates to join our Broad Structural Variation Group. The successful candidate will join a team of leading researchers in methods development and computational operations for the discovery, annotation, functional prediction, trait association, and population genetic mapping of structural variation in the human genome.</p><p>
Successful candidates are expected to excel in critical thinking, be quick learners of new analytical approaches, and be capable of applying and developing novel computational methods to solve complex problems. The successful candidate will have a deep background and an established track record in mathematics, programming, and data science. They will have exceptional organization and communication skills and be a collaborative member of an interdisciplinary team.</p><p><b><br>
Key Responsibilities:</b></p><ul><li>
Apply computational methods for structural variant discovery to human genomes.</li><li>
Perform quality control assessments with a deep understanding of the data and the underlying biology.</li><li>
Work closely with biologists to interpret and understand the data and results.</li><li>
Develop new computational methods and improve existing methods for genomics analyses.</li><li>
Track and communicate progress to internal and external stakeholders at meetings and over Slack.</li><li>
Plan and execute on project deliverables, timelines, and budgets.</li><li>
Prepare high-quality publications and oral presentations.</li><li>
Proactively bridge scientific communities.</li></ul><p><b><br>
Requirements:</b></p><ul><li>
Master's + 1 year experience, or Bachelor&rsquo;s + 3 years experience in a computational discipline (e.g., Computational Biology, Bioinformatics, Biostatistics, Bioengineering, Computer Science, Mathematics, Physics, Statistics).</li><li>
Proficiency with coding in at least one programming language, such as Python, R, C++, or Java.</li><li>
Experience with designing computational methods and tools.</li><li>
Excellent oral and written English communication skills.</li><li>
Ability to work independently and to contribute to a team science culture.</li><li>
Desire to meet the milestones and deliverables for the production of national and international community resources such as AoU and gnomAD.</li></ul><div><div>
The Talkowski Lab is an interdisciplinary group of scientists, technicians, bioinformaticians, computational biologists, and postdoctoral fellows who work together in a mutually supportive and respectful environment. Ideas are freely shared, and contributions are highly valued. We are dedicated to the characterization of genomic variation contributing to human disease, focusing on the relationship between genome structure and function. The lab integrates molecular and computational genomics methods to investigate the genetic architecture of neuropsychiatric disorders and to develop new technologies for translational applications in genetic diagnostics. The lab has represented a hub of novel gene and variant discovery and functional genomics modeling in common complex and rare Mendelian disorders.</div><div><br>
Please include a cover letter along with your resume.</div></div><br>
<div></div>
</div></div><div><div><div>The expected base pay range for this position as listed above is based on a 40 hour per week schedule. Broad provides pay ranges representing its reasonable and good faith estimate of what the organization reasonably expects to pay for a position at the time of posting. Actual compensation will vary based on factors including but not limited to, relevant skills, experience, education, qualifications, and other factors permissible by law.</div><div>
</div><div>
At Broad, your base pay is just one part of a comprehensive total rewards package. From day one, this role offers a competitive benefits package including medical, dental, vision, life, and disability insurance; a 401(k) retirement plan; flexible spending and health savings accounts; at least 13 paid holidays; winter closure; paid time off; parental and family care leave; and an employee assistance program, among other Broad benefits.</div><div></div><div><br>
The Broad Institute is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, disability, protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.</div><div></div><div><br>
Should you need a reasonable accommodation to complete the application or interview process, please contact recruiting@broadinstitute.org for assistance.</div></div></div></div></div></div></div><div></div>

Computational Associate II - Broad Structural Variation Group

CVJ-Centre for Synthetic Biology and Biomanufacturing

<p><b>POSITION OVERVIEW</b></p><p>We are seeking a highly motivated Scientist in Bio AI to join our cutting-edge research and innovation team at the intersection of biology, artificial intelligence, and data-driven discovery. The ideal candidate will apply AI/ML methods to accelerate insights in genomics, systems biology, synthetic biology, and biomanufacturing. This role offers the opportunity to work in a highly interdisciplinary environment, driving innovation in healthcare, sustainability, and the bioeconomy.</p><p><b>KEY RESPONSIBILITIES</b></p><p>The responsibilities of the scientist would include, but are not limited to, the following</p><p>1. Conduct high-impact translational research using classic computational tools, AI, and quantum tools to design novel molecules and pathways for health, food, and environmental applications.</p><p>&middot; Integrate multi-omics data to model virtual pathways and cells.</p><p>&middot; Build AI/ML models for genomics, proteomics, metabolomics, imaging, and multi-omics integration.</p><p>&middot; Develop predictive and generative models for protein design, pathway optimization, drug discovery, and biomanufacturing.</p><p>&middot; Collaborate with experimental teams to validate AI-driven predictions in the lab.</p><p>&middot; Create knowledge graphs and data pipelines to structure biological insights.</p><p>&middot; Drive innovation through high-impact publications and intellectual property (patents, algorithms, pipelines).</p><p>2. Publish research findings in good journals and present at international conferences.</p><p>3. Participate in grant writing and fundraising activities.</p><p>4. Foster collaborations with global academic institutions and industry leaders.</p><p>5. Contribute to the academic mission by designing courses, teaching and mentoring students in bio-AI, computational biology, and data-driven biodesign.</p><p><b>QUALIFICATIONS AND EXPERTISE</b></p><p>&middot; PhD or equivalent in Computational Biology, Bioinformatics, Computer Science, AI/ML, Systems Biology, or related fields.</p><p>&middot; Strong expertise in machine learning, deep learning, or generative AI, with applications in biology or chemistry.</p><p>&middot; Proven experience in handling large-scale biological datasets (genomic, proteomic, imaging, multi-omics).</p><p>&middot; Proficiency in programming (Python, R, TensorFlow, PyTorch, or equivalent).</p><p>&middot; Strong understanding of molecular biology, biochemistry, or systems biology.</p><p>&middot; Track record of scientific publications and/or patents.</p><p>&middot; Excellent communication skills and ability to thrive in a collaborative, interdisciplinary team.</p><p><b>BENEFITS AND OPPORTUNITIES</b></p><p>&middot; Opportunity to work at the frontier of AI and life sciences, shaping the future of biomanufacturing and healthcare.</p><p>&middot; Access to state-of-the-art computational and experimental facilities.</p><p>&middot; Competitive salary and benefits package.</p><p>&middot; Career growth through publications, patents, and translational projects with industry partners.</p><p>&middot; Be part of an internationally connected ecosystem, with collaborations spanning academia, startups, and industry leaders.</p><p>&middot; A dynamic workplace that values innovation, interdisciplinary collaboration, and societal impact.</p><p><b>APPLICATION PROCESS</b></p><p>&middot; A cover letter outlining Research Plan, Teaching Statement</p><p>&middot; A detailed CV, including publication record</p><p>&middot; Contact details of three professional references</p><p>&middot; Applications will be accepted until the position is filled</p><p>Submit application to: <b>connect@cvjsynbio.org</b></p><p><i>Note: All applications will be thoroughly reviewed - </i><i><b>only</b></i> <i>shortlisted candidates will be contacted for an interview.</i></p><p>Job Type: Full-time</p><p>Work Location: In person</p>

Scientist BioAI

<div><div><div><div><h3 class="jobSectionHeader"><b>General information
</b></h3></div></div><div><div><div><div>Location
</div><div>Cambridge, MA
</div></div><div><div>Ref #
</div><div>43205
</div></div><div><div>Job Family
</div><div>Research
</div></div><div><div>Workplace
</div><div>Hybrid
</div></div><div><div>Date published
</div><div>11/10/2025
</div></div><div><div>Time Type
</div><div>Full time
</div></div><div><div>Pay Range
</div><div>88,000 - 124,000 Usd Annual
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Description &amp; Requirements
</b></h3></div></div><div><div><div><div><p>The Talkowski Laboratory in the Center for Genomic Medicine at Massachusetts General Hospital (MGH) and the Stanley Center for Psychiatric Research at the Broad Institute of MIT and Harvard is seeking a highly motivated, enthusiastic candidate to work with our research group to detect, annotate, and characterize genetic variants in large cohorts of patients with autism and other neuropsychiatric conditions. The Talkowski Lab is a large, diverse, and interdisciplinary group of scientists dedicated to the characterization of genomic variation contributing to human disease. The group is leading and contributing to multiple international consortia that collect, process, aggregate, and analyze genomic sequencing data on a large scale.<br>
<br>
The advertised position is part of the autism and neuropsychiatric subteam, which is part of the larger variant association team. The candidate will process incoming sequencing datasets through established pipelines and will contribute to the development of new analysis workflows. The candidate is expected to effectively communicate with other subteams to ensure that new analysis workflows are distributed across teams.<br>
<br>
We are seeking a candidate to perform high-quality, genome-scale computational analyses under the supervision of the group leader in a timely manner. Successful candidates are expected to be quick learners of new analytical approaches and be capable of applying and developing novel computational methods for solving complex problems. Candidates should therefore have extensive practical programming experience, as well as experience with cloud computation and workflow management systems. The candidate must also have experience with implementing large-scale computational analyses, algorithm development, or statistical analysis. Knowledge of existing analysis tools, methods, and databases in the field of genomics is a significant plus.<br>
<br>
This position is hybrid, with the option of flexible remote working hours.<br>
<br>
<b>Responsibilities:</b></p><br>
<ul><li>
Member of the team analyzing the sequencing data for the Autism Sequencing Consortium. Through this role, you will assist with the development of analysis aiming at (1) calling and annotating variants in short read sequencing data and (2) developing association frameworks to link detected variants to phenotypes.</li><li>
Responsible for processing incoming blended genome exome (BGE) datasets (i.e., a cost-effective method that combines low-pass whole genome sequencing with deep exome sequencing from a single DNA sample) from various neuropsychiatric cohorts and calling copy-number variants in these samples.</li><li>
Responsible for QCing the results and generating reports to share with collaborators.</li><li>
Interact with other subteams, most notably the methods development team, to develop, improve, standardize, optimize, and distribute new and existing methods for genomics analyses to bridge the progress made by different subteams.</li><li>
Provide collaborative bioinformatics analysis in support of other research projects.</li><li>
Track and communicate progress to internal and external stakeholders at meetings and over Slack.</li></ul><br>
<b>
Skills:</b><br>
<ul><li>
Experience with cloud computing and workflow management systems. Experience with Terra, WDL, and Google Cloud is a plus.</li><li>
Proficient in Python, R, and Unix/Linux, and/or other scripting languages.</li><li>
Proven ability to learn new computational tools and packages.</li><li>
Good foundations in statistics.</li><li>
Ability to work independently and in a team setting in an organized fashion.</li><li>
Good interpersonal and oral/written communication skills in English.</li><li>
Strong ability and experience in interpreting computational results and translating these results into biologically relevant conclusions and hypotheses.</li><li>
Experience in genomics and handling large-scale datasets is a plus.</li></ul><br>
<b>
Education:</b><br>
Ph.D. in a computational discipline (e.g., computational biology, bioinformatics, biostatistics, computer science, mathematics, physics, statistics) with 3+ years of related experience preferred but exceptional candidates with less experience are welcome to apply.<div></div><div><br>
Please include a cover letter along with your resume.</div><br>
<div></div>
</div></div><div><div><div>The expected base pay range for this position as listed above is based on a 40 hour per week schedule. Broad provides pay ranges representing its reasonable and good faith estimate of what the organization reasonably expects to pay for a position at the time of posting. Actual compensation will vary based on factors including but not limited to, relevant skills, experience, education, qualifications, and other factors permissible by law.</div><div>
</div><div>
At Broad, your base pay is just one part of a comprehensive total rewards package. From day one, this role offers a competitive benefits package including medical, dental, vision, life, and disability insurance; a 401(k) retirement plan; flexible spending and health savings accounts; at least 13 paid holidays; winter closure; paid time off; parental and family care leave; and an employee assistance program, among other Broad benefits.</div><div></div><div><br>
The Broad Institute is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, disability, protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.</div><div></div><div><br>
Should you need a reasonable accommodation to complete the application or interview process, please contact recruiting@broadinstitute.org for assistance.</div></div></div></div></div></div></div><div></div>

Computational Scientist I - Genome-scale Computational Analyses

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
</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>High-throughput experimentation, Computational &amp; Data-driven modeling and the dawn of the Open Science era are dramatically changing how BioPharma researches, discovers and develops new therapeutics. Aganitha is co-innovating with global biopharma customers on next generation R&amp;D.</b></p><p><br>
As a Customer Solutions Manager at Aganitha, you will be called upon to blend advances in multiple disciplines such as Omics, Structural Biology, Protein and Antibody Engineering, Computational Quantum Chemistry, AI/ML, and High-performance computing in the Cloud to help our global BioPharma customers accelerate design and development of SMOL, Antibody, Gene, Cell &amp; RNA therapeutics. You will work with research leaders at our customer organizations, identify their needs and build solutions in collaboration with our internal technical and scientific teams.</p><p>
To succeed in this role, you must have a strong interest in engaging with customers to apply the latest scientific and technology advances for R&amp;D acceleration, driving revenue growth for Aganitha in the process.</p><p><i>
Aganitha (&#2309;&#2327;&#2339;&#2367;&#2340;): &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>Key Responsibilities</b></h3>
</div></div><div><div><ul><li>Design, implement, and optimize algorithms for biomedical image analysis using deep learning and computer vision techniques (CNNs, transformers, diffusion models, etc.).</li><li>
Work on multi-modal datasets &mdash; including cellular images, microscopy, MRI, CT, EEG, ECG and histopathology slides &mdash; to extract meaningful biological or clinical insights.</li><li>
Develop automated image &amp; waveform segmentation, classification, and feature extraction workflows.</li><li>
Collaborate with biologists, chemists, and AI engineers to integrate imaging data with omics and molecular datasets.</li><li>
Contribute to building scalable pipelines for image data preprocessing, model training, and deployment.</li><li>
Validate models against experimental data and ensure reproducibility of results.</li><li>
Stay current with advances in biomedical imaging, AI/ML architectures, and data integration methods.</li></ul>
</div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Desired Skills / Expertise</b></h3>
</div></div><div><div><ul><li>Strong background in <b>Biomedical Engineering</b>, <b>Computer Science</b>, <b>Electrical Engineering</b>, <b>Biophysics</b>, <b>Computational Biology</b>, or related field.</li><li>
PhD or Master&rsquo;s degree with experience in biomedical image analysis or computer vision.</li><li>
Hands-on experience with <b>Python</b>, <b>PyTorch</b> (or TensorFlow), <b>OpenCV</b>, and <b>scikit-image</b>.</li><li>
Experience with <b>microscopy, histopathology, and radiology</b> image datasets.</li></ul><ul><li>
Knowledge of <b>image preprocessing, segmentation, and 3D/volumetric data</b> handling.</li><li>
Familiarity with <b>data annotation</b>, <b>weak supervision</b>, or <b>multi-modal learning</b> is a plus.</li><li>
Excellent communication and problem-solving skills.</li></ul>
</div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Preferred Qualifications</b></h3>
</div></div><div><div><ul><li>Prior experience integrating image data with omics, clinical, or molecular datasets.</li><li>
Experience deploying ML models or using MLOps tools (e.g., MLFlow, ClearML).</li><li>
Publications or open-source contributions in biomedical imaging or computational biology.</li></ul></div></div></div></div></div></div></div>

Scientist (Biomedical Image Analysis Scientist)

<div><div><div><div><h3 class="jobSectionHeader"><b>General information
</b></h3></div></div><div><div><div><div>Location
</div><div>Cambridge, MA
</div></div><div><div>Ref #
</div><div>43204
</div></div><div><div>Job Family
</div><div>Research
</div></div><div><div>Workplace
</div><div>On-Site
</div></div><div><div>Date published
</div><div>11/10/2025
</div></div><div><div>Time Type
</div><div>Full time
</div></div><div><div>Pay Range
</div><div>70,000.00 - 92,667.00 Usd Annual
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Description &amp; Requirements
</b></h3></div></div><div><div><div><div><p>The Proteomics Group (Carr/ Udeshi Lab) at the Broad Institute of MIT and Harvard is looking for a highly motivated postdoctoral associate to develop and apply state-of-the art mass spectrometry-based proteomics technology to address compelling questions in biology, chemistry and clinical medicine in a highly collaborative setting with groups in the greater Broad scientific community and beyond. The specific research areas of immediate interest that this scientist could drive include:</p><div><ul><li><br>
proteogenomic studies of a wide range of cancers</li><li>detailed studies of cellular signaling networks related to protein phosphorylation, ubiquitylation or acetylation</li><li>chemical proteomics technologies such as thermal profiling and cell surface proteomics</li></ul>
to unveil intracellular and cell-surface protein drug targets<br>
<ul><li>developing biological understanding of response and resistance to therapy</li></ul></div><p><br>
Successful candidates will work in one or more of these areas together with an interdisciplinary team of clinicians, biologists, computational and proteomics scientists to deeply characterize and understand the proteomes of tumor-derived material, cells and biofluids.</p><p><br>
The Broad Institute is a world-leading non-profit research organization dedicated to realizing the promise of the post-genomic era for human benefit. Located in Cambridge, MA with strong ties to MIT, Harvard, and world class Boston hospitals, the Broad Institute brings together scientists of diverse backgrounds to solve critical problems in biology and medicine in an interdisciplinary manner.</p><p></p><p><br>
The Broad Institute, and the embedded Proteomics Group, have an outstanding track-record in training the next generation of research scientists. We (www.broadinstitute.org/proteomics) have a very strong track record in developing and applying proteomic technologies critical to address important questions in biology and medicine. We collaborate with top-level international researchers throughout the world, and results of these studies and our technology developments are published in top-tier journals.</p><div><b><br>
Qualifications Candidates must have:</b><br>
<ul><li>an Ph.D. or MD, PhD in areas such as analytical chemistry, molecular biology, biology, biochemistry, computational biology or preferably interdisciplinary sciences merging laboratory and bioinformatic skills</li><li>excellent scientific productivity, evidenced by high-quality research publications in peer- reviewed journals</li><li>track record of conducting independent and creative research</li><li>analytical aptitude for devising innovative scientific or technical solutions</li><li>excellent verbal and written communication skills</li></ul><br>
<b>
Hands-on skills and knowledge in one or more of the following areas would be considered an advantage:</b><br>
<ul><li>state-of-the-art mass spectrometry-based proteomics</li><li>expertise in statistical and/or computational analysis of large-scale proteomic or genomic data</li><li>analysis of cell signaling pathways/networks</li><li>cell biology/ biochemical methods to understand protein function</li><li>domain expertise in a disease area such as cancer, metabolic or infectious disease</li></ul></div>
</div></div><div><div><div>The expected base salary range for this position as listed above is based on a 40 hour per week schedule. Broad provides pay ranges representing its reasonable and good faith estimate of what the organization reasonably expects to pay for a position at the time of posting. Actual compensation will vary based on factors including but not limited to, relevant skills, experience, education, qualifications, and other factors permissible by law.</div><div>
</div><div>
At Broad, your base pay is just one part of a comprehensive total rewards package. From day one, this role offers a competitive benefits package including medical, dental, vision, life, and disability insurance; a 401(k) retirement plan; flexible spending and health savings accounts; at least 13 paid holidays; winter closure; paid time off; parental and family care leave; and an employee assistance program, among other Broad benefits.</div><div></div><div><br>
The Broad Institute is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, disability, protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.</div><div></div><div><br>
Should you need a reasonable accommodation to complete the application or interview process, please contact recruiting@broadinstitute.org for assistance.</div></div></div></div></div></div></div><div></div>

Postdoctoral Associate - Proteomics Group

University of Minnesota

<div><div>All required qualifications must be documented on application materials.<br>
Required Qualifications:<br>
<ul><li>Doctorate in the life sciences, computer science, or engineering, or related field with substantial research and publication record.</li><li>Experience analyzing transcriptome and single-cell sequencing datasets such as scRNA-Seq, CITE-Seq, TCR/BCR-Seq.</li><li>Proficiency in programming in R, Python, SLURM scheduler, workflow management systems such as Snakemake and RMSAbility to understand and translate researchers' scientific goals into analytical strategies and process requirements.</li><li>Experience in experimental design, statistical analysis and data visualization.</li><li>Experience working with a diverse team of scientists to achieve common goals while demonstrating self-initiative.</li><li>Critical and independent thinking.</li><li>Excellent communication skills &ndash; verbal and written, and interpersonal skills.</li></ul><br>
Preferred Qualifications:<br>
<ul><li>Extensive experience epigenomics data analysis, including whole genome Methl-seq sequencing, phylogenomics, ATAC-seq, ChIP-seq, HiC</li><li>Experience in the development of bioinformatics pipelines for highperformance computing cluster</li><li>Experience in developing and maintaining clinical genomics analysis pipelines for somatic and germline sequencing projects</li><li>Expert level knowledge in analysis of short and long read sequencing platforms like Illumina, PacBio and nanopore sequencers</li></ul></div><div>
Work Arrangement:<br>
<ul><li>The position is expected to work primarily on-site. Your work location will be WMBB.</li><li>The Department retains the right to modify flexible work arrangement agreements on a temporary or permanent basis for any reason at any time.</li></ul><br>
Job description:<br>
Lead and coordinate bioinformatics research efforts supporting studies on decoding the responses to cell death, integrating computational analysis with experimental design and fostering collaborative research within the Center for Immunology (CFI).<br>
<br>
Responsibilities:<br>
<ul><li>(60%) Lead research projects in bioinformatics and data-driven discovery.</li></ul>
o Design and execute bioinformatics workflows for multi-omic datasets, including RNA-seq, scRNA-seq, ATAC-seq, and spatial transcriptomics derived from rodent models or human samples.<br>
o Oversee data processing, quality control, and computational analysis to ensure high accuracy, reproducibility, and adherence to best practices in data management.<br>
o Collaborate closely with investigators to integrate analytical findings into experimental design, interpretation, and hypothesis generation.<br>
o Prepare manuscripts, figures, and written/oral reports for internal and external dissemination, including journal publications and conference presentations.<br>
o Lead bioinformatics efforts on collaborative projects within the CFI, serving as a liaison across laboratories and providing strategic and technical guidance to enhance the impact of shared research goals.<br>
<ul><li>(20%) Supervise and mentor laboratory and research staff in bioinformatics and data analysis.</li></ul>
o Train and guide laboratory members including junior scientists, graduate and undergraduate students, and postdoctoral fellows in computational methods, data management, and biological interpretation.<br>
o Provide oversight and troubleshooting for bioinformatics workflows, ensuring seamless coordination between experimental and computational components of ongoing studies.<br>
o Support the design, execution, and evaluation of data-driven experiments, maintaining high standards of methodological rigor and reproducibility.<br>
<ul><li>(15%) Oversight of analysis, interpretation, and reporting of scientific data.</li></ul>
o Direct and co-lead data interpretation sessions with collaborating teams and faculty investigators at CFI.<br>
o Compile and present bioinformatics findings in internal seminars, collaborative meetings, and national conferences.<br>
o Maintain detailed documentation of analytical pipelines and data management procedures to ensure transparency, traceability, and reproducibility.<br>
<ul><li>(5%) Contribute to grant preparation and strategic planning of new research initiatives.</li></ul>
o Assist in the conception, design, and drafting of research proposals by providing analytical frameworks, pilot data, and figures.<br>
o Contribute to the preparation of large collaborative grants with CFI faculty, including the integration of bioinformatics aims and preliminary results.<br>
o Participate in collaborative editing, submission, and revision of grant applications and progress reports.<br>
<ul><li>Other duties as assigned, including coordination of cross-laboratory computational collaborations and the continued development of institutional bioinformatics capacity</li></ul></div><p>
Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will be given the opportunity to complete an online application for the position and attach a cover letter and resume.</p><p>
Additional documents may be attached after application by accessing your &quot;My Job Applications&quot; page and uploading documents in the &quot;My Cover Letters and Attachments&quot; section.</p><p>
To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647.</p><p>
The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds.</p><p>
The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu</p><p>
Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.</p><p></p><p>
The University of Minnesota, Twin Cities (UMTC)</p><p>
The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.</p><p>
At the University of Minnesota, we are proud to be recognized by the Star Tribune as a Top Workplace for 2021, as well as by Forbes as Best Employers for Women and one of America&rsquo;s Best Employers (2015, 2018, 2019, 2023), Best Employer for Diversity (2019, 2020), Best Employer for New Grads (2018, 2019), and Best Employer by State (2019, 2022).</p></div>

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