bioinformatics scientist

Teacher of Arts (High school) Philosophy of the Arts (HKU)

<div>
 The University of Hong Kong
 <br/>
 <br/>
 Apply now
 <strong>
  Ref.:
 </strong>
 533322
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 <strong>
  Work type:
 </strong>
 Full-time
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 <br/>
 <strong>
  Department:
 </strong>
 Centre for PanorOmic Sciences (22200)
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 <strong>
  Categories:
 </strong>
 Executive / Technical / Support
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 Hong Kong
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 <strong>
  Bioinformatics Manager (at the rank of Technical Manager) in Bioinformatics Core of the Centre for PanorOmic Sciences (CPOS)
 </strong>
 (Ref.: 533322) (to commence as soon as possible, on a two-year fixed-term basis with contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 10% of basic salary, with the possibility of renewal subject to satisfactory performance)
 <br/>
 <br/>
 <strong>
  Come and Join Us
  <br/>
  <br/>
 </strong>
 Centre for PanorOmic Sciences (CPOS) is an academic research-support centre embracing multi-omics and big data biomedical research under the LKS Faculty of Medicine. CPOS core laboratories host state-of-the-art technology platforms with sophisticated equipment supported by over 75 dedicated members. Welcome to visit https://cpos.hku.hk to explore more.
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 <strong>
  The Role
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Assist the Core Manager with daily operations, strategic planning, and service development
  </li>
  <li>
   Lead and deliver bioinformatics analyses for high-throughput sequencing and multi-omics projects
  </li>
  <li>
   Supervise, train, and mentor junior bioinformaticians and research staff
  </li>
  <li>
   Develop, maintain, and optimise reproducible analysis pipelines and workflows
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  <li>
   Provide expert consultation to researchers on study design, analysis, and data interpretation
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  <li>
   Coordinate with other CPOS cores to ensure integrated and efficient service delivery
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   <br/>
  </li>
 </ul>
 <strong>
  Qualifications And Qualities
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  <br/>
 </strong>
 <ul>
  <li>
   Ph.D. degree in Bioinformatics, Computer Science, Biological Sciences or related disciplines
  </li>
  <li>
   At least 10 years' relevant experience, including a minimum of 3 years in a supervisory or team-lead role
  </li>
  <li>
   Background or experience in a bioinformatics core facility, service platform, or academic setting is an advantage
  </li>
  <li>
   Strong technical skills in Python, R, Linux/Unix, workflow management, and reproducible research practices
  </li>
  <li>
   Expertise in one or more of the following areas: genomics, transcriptomics, single-cell, or epigenomics data analysis
  </li>
  <li>
   Excellent communication skills, proactive, independent and enjoy teamwork
  </li>
  <li>
   Willing to meet new challenges and able to meet tight deadlines
   <br/>
   <br/>
  </li>
 </ul>
 Shortlisted candidates will be invited to attend an interview.
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 A highly competitive salary commensurate with qualifications and experience will be offered. Other benefits include annual leave, medical benefits, continuing professional development, and free access to on-campus gyms and libraries.
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 <br/>
 The University only accepts online application for the above post. Applicants should apply online at the University&rsquo;s careers site (https://jobs.hku.hk) and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until
 <strong>
  October 31, 2025
 </strong>
 , or until the post is filled, whichever is earlier.
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 <br/>
 <strong>
  Advertised:
 </strong>
 Oct 8, 2025 (HK Time)
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 <br/>
 <strong>
  Applications close:
 </strong>
 Oct 31, 2025 (HK Time)
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Bioinformatics Manager (at the rank of Technical Manager) in Bioinformatics Core

Mount Sinai Health System

<div><b>Description</b><p>
A grant-funded Bioinformatician position is available in a lab in the Windreich Department of AI and Human Health at Icahn School of Medicine at Mount Sinai. The Bioinformatician will work with a group of researchers on innovative analyses of genetic disease in electronic health records (EHR). The individual will support research projects by delivering bioinformatics services for medical, genetic, and multi-omic data. The specific project supported by this position focuses on using machine learning and AI methods to detect undiagnosed rare genetic disease in medical databases, including Mount Sinai patients. The ideal candidate will have strong statistical and programming proficiencies with proven expertise in machine learning and deep learning. Good organization and communication skills, with demonstrated ability to productively work as a member of a team. Strong verbal and written communication skills in English are required.</p><b><br>
Responsibilities</b><ul><li>
Conducts statistical and genetic analyses</li><li>
Uses software to gather, store, manipulate and analyze research data</li><li>
Develops and evaluates predictive models of rare genetic disease</li><li>
Work independently on a variety of bioinformatics analysis projects to support efforts in the lab</li><li>
Participate in the preparation of manuscripts and presentations</li><li>
Other related duties as assigned</li></ul><br>
<b>
Qualifications</b><ul><li>
B.S. in Biological Sciences, Bioinformatics, Computer Sciences, Statistics or related discipline; M.S. preferred</li><li>
3 years experience required</li><li>
Working experience with genetics or statistics analysis software and online resources. Experience in programming environments such as Matlab, R statistical package, BioConductor, Perl or C++.</li></ul><p></p><b><br>
Employer Description</b><p><b>
Strength through Unity and Inclusion</b></p>
<p>
The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai&rsquo;s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.</p>
<p>
At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.</p>
<p><b>
About the Mount Sinai Health System:</b></p>
<p>
Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time &mdash; discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients&rsquo; medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News &amp; World Report's Best Hospitals, receiving high &quot;Honor Roll&quot; status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News &amp; World Report&rsquo;s &ldquo;Best Children&rsquo;s Hospitals&rdquo; ranks Mount Sinai Kravis Children's Hospital among the country&rsquo;s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek&rsquo;s &ldquo;The World&rsquo;s Best Smart Hospitals&rdquo; ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.</p>
<p><b>
Equal Opportunity Employer</b></p>
<p>
The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.</p><p><b><br>
Compensation</b></p><p>
The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $65000.17 - $87610 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.</p></div>

Bioinformatician I - Windreich Department of AI & Human Health

united arab emirates university

<b>Job Description</b> The Khalifa Center for Genetic Engineering and Biotechnology is seeking a highly motivated and innovative Assistant Research Professor in Bioinformatics and Population Genetics. The successful candidate will contribute to cutting-edge research in genetic engineering, focusing on population genetics, evolutionary biology, and bioinformatics methodologies.Minimum Qualification Ph.D. in Bioinformatics, Population Genetics, Genomics, or a related field. - Proven experience in bioinformatics analysis, particularly in population genetics or evolutionary studies. - Proficiency in programming languages such as R, Python, or Perl, and familiarity with bioinformatics tools and databases. - Strong understanding of statistical genetics, evolutionary theory, and relevant methodologies. - Excellent communication skills, with a track record of publishing research and presenting findings. - Ability to work collaboratively in a multidisciplinary research environment. - Experience in mentoring students or junior researchers is preferred.Preferred Qualification Ph.D. in Bioinformatics, Population Genetics, Genomics, or a related field. - Proven experience in bioinformatics analysis, particularly in population genetics or evolutionary studies. - Proficiency in programming languages such as R, Python, or Perl, and familiarity with bioinformatics tools and databases. - Strong understanding of statistical genetics, evolutionary theory, and relevant methodologies. - Excellent communication skills, with a track record of publishing research and presenting findings. - Ability to work collaboratively in a multidisciplinary research environment. - Experience in mentoring students or junior researchers is preferred.Expected Skills Key Responsibilities: - Conduct independent and collaborative research in bioinformatics and population genetics, contributing to the center's strategic research goals. - Develop and implement bioinformatic tools and pipelines for analyzing genomic data, including next-generation sequencing (NGS) data. - Analyze genetic variation within and between populations, applying statistical methods to interpret population structure, gene flow, and evolutionary dynamics. The candidate must very well verse on genome structure including transposons. - Collaborate with interdisciplinary teams to integrate bioinformatics with experimental research in genetics and biotechnology. - Mentor graduate students and junior researchers, providing guidance in research methodologies, data analysis, and scientific writing. - Publish research findings in high-impact peer-reviewed journals and present at national and international.

Research Assistant Professor in Bioinformatics and Population Genetics

Howard Hughes Medical Institute

<div>Primary Work Address: One Shields Avenue, Davis, CA, 95616<div></div><div><br>
The Howard Hughes Medical Institute (HHMI) advances the discovery and sharing of scientific knowledge to benefit us all. As a biomedical research organization and philanthropy, HHMI supports a vibrant community of academic researchers, educators, students, and professionals. Together, we&rsquo;re unlocking the fundamentals of biology and building an open, inclusive future for science.</div><div><br>
We have an outstanding opportunity for a Postdoctoral Scientist to study uterine, placental, and pregnancy biology by joining the lab team of Dr. Elisa Zhang, <div>Freeman Hrabowski Scholar</div>. The Freeman Hrabowski Scholar program is noteworthy for selecting outstanding basic researchers who have prioritized scientific excellence in research while simultaneously creating lab climates in which everyone can thrive and benefit from their leadership and inclusive mentorship.</div><div></div><div>
Located on the Davis campus in the Departments of Physiology &amp; Membrane Biology (PMB) and Obstetrics &amp; Gynecology (OB/GYN) at the University of California, Davis, the Zhang lab group is broadly interested in mammalian stem cell biology, reproduction, and development. They use cutting-edge single-cell, spatial, in vitro, and surgical approaches in multiple model species and in human organoids to investigate the uterine endometrium and maternal-fetal interface, with the goal of improving female and fetal health. More information about the lab and their work can be found by visiting <div>https://zhang.faculty.ucdavis.edu/</div><br>
<br>
About the Postdoctoral Scientist role:<br>
Postdoctoral Scientist candidates are expected to have a strong track record of rigorous research experience in the biosciences with high potential for further scientific and professional growth. &ldquo;Wet lab&rdquo; candidates should have a strong background in developmental, molecular, cellular, and/or reproductive biology, or related disciplines. &ldquo;Dry lab&rdquo; candidates should have a strong foundation in bioinformatics and prior experience analyzing single-cell RNA-seq and/or other high-throughput datasets (e.g. RNA-seq, ATAC-seq, CUT&amp;Tag, proteomics, etc.).</div><div></div><div>
Candidates are expected to be capable of working independently, including staying abreast of current literature; designing, executing, and interpreting experiments; collaborating effectively within a multidisciplinary team; and clearly communicating in internal meetings, at international conferences, and in publications as well as fellowships and grants. In addition, this position includes mentoring junior trainees as well as assisting with laboratory maintenance. The ideal candidate will possess outstanding scientific credentials and a strong growth mentality, thrive in a dynamic environment, and demonstrate strong leadership and communication skills.</div><div><br>
What we provide:</div><ul><li><div>
An energetic, intellectually vibrant, and fun lab team that values innovation, excellence, inclusion, creativity, rigor, training, mentorship, and collaboration.</div></li><li><div>
Generous and stable research funding from HHMI.</div></li><li><div>
Strong publication opportunities.</div></li><li><div>
Opportunities to present at seminars, symposia, and conferences.</div></li><li><div>
Mentorship and support from Dr. Zhang tailored to your scientific and career goals.</div></li><li><div>
Access to direct support in writing and securing fellowships.</div></li><li><div>
Opportunities to mentor the next generation of scientists.</div></li><li><div>
Access to cutting-edge instrumentation and facilities.</div></li><li><div>
Joining the supportive, inclusive, and collaborative <div>UC Davis</div> research community. Ideally situated in the peaceful, family-friendly town of <div>Davis</div>, located between the San Francisco Bay Area and Sacramento, with beautiful Lake Tahoe a mere 2 hours away.</div></li><li><div>
Cross-disciplinary collaborative opportunities at UC Davis and beyond, including with the UC Davis Medical Center, UC Davis School of Veterinary Medicine, and UC Davis Primate Center.</div></li><li><div>
A competitive compensation package with comprehensive health and wellness benefits.</div></li><li><div>
Access to HHMI&rsquo;s on-demand learning and skill-building content.</div></li></ul><div><br>
What you&rsquo;ll do:</div><div>
Several ongoing and emerging directions are available, including the following:</div><ul><li><div>
Embryo implantation</div></li><li><div>
Placental development and function</div></li><li><div>
Uterine endometrial stem cells, their niche, and intercellular communication during the menstrual cycle</div></li><li><div>
Uterine and maternal-fetal interface dysfunction (e.g. endometriosis, preeclampsia, etc.)</div></li></ul><div><br>
For each of these areas, the lab uses a variety of approaches in mice, rhesus macaques, and human organoids.</div><div><br>
What you bring:</div><ul><li><div>
A Ph.D. or M.D./Ph.D. degree in Molecular and Cellular Biology, Developmental Biology, Reproductive Biology, Neuroscience, Bioinformatics, or related field, anticipated to be completed by the start date of the position</div></li><li><div>
A strong track record of research achievement with evidence of creativity, independence, analytical thinking, organizational skills, and proficiency with multiple approaches.</div></li><li><div>
Ability to learn quickly and to work both independently and as part of an interdisciplinary team.</div></li><li><div>
Enthusiasm for tackling challenging biological questions with a strong growth mindset.</div></li><li><div>
Positive attitude with a strategic, adaptive, and resourceful approach to problem-solving.</div></li><li><div>
Strong leadership skills as well as willingness to mentor others, share expertise, and contribute to the collective success of the team.</div></li><li><div>
Strong verbal and written communications skills coupled with effective interpersonal and collaboration skills.</div></li><li><div>
Commitment to research integrity.</div></li><li><div>
Ability to contribute to fostering a positive, thriving lab culture.</div></li></ul><div></div><div>
Application instructions:<br>
Please include the following items as part of your application &ndash;</div><ul><li>
A cover letter, including your scientific interests in relation to the lab's focus and a summary of research accomplishments</li><li>
Your curriculum vitae (C.V.)</li><li>
Contact information for three professional references</li></ul><div></div><div>
Physical Requirements</div><div></div><div>
Remaining in a normal seated or standing position for extended periods of time; reaching and grasping by extending hand(s) or arm(s); dexterity to manipulate objects with fingers, for example using a keyboard; communication skills using the spoken word; ability to see and hear within normal parameters; ability to move about workspace. The position requires mobility, including the ability to move materials weighing up to several pounds (such as a laptop computer or tablet).</div><div></div><div>
Persons with disabilities may be able to perform the essential duties of this position with reasonable accommodation. Requests for reasonable accommodation will be evaluated on an individual basis.</div><div></div><div>
Please Note:</div><div>
This job description sets forth the job&rsquo;s principal duties, responsibilities, and requirements; it should not be construed as an exhaustive statement, however. Unless they begin with the word &ldquo;may,&rdquo; the Essential Duties and Responsibilities described above are &ldquo;essential functions&rdquo; of the job, as defined by the Americans with Disabilities Act. #LI-NG1</div><div></div><div>
Compensation and Benefits</div><div>
Our employees are compensated from a total rewards perspective in many ways for their contributions to our mission, including competitive pay, exceptional health benefits, retirement plans, time off, and a range of recognition and wellness programs. Visit our <div>Benefits at HHMI</div> site to learn more.</div><div></div><div><i>
Compensation Range</i></div>
$70,000.00 (minimum) - $80,500.00 (midpoint) - $91,000.00 (maximum)<div></div><div>
Pay Type:</div>
Annual<div></div><div>
HHMI&rsquo;s salary structure is developed based on relevant job market data. HHMI considers a candidate's education, previous experiences, knowledge, skills and abilities, as well as internal consistency when making job offers. Typically, a new hire for this position in this location is compensated between the minimum and the midpoint of the salary range.</div><div></div><div><div>
HHMI is an Equal Opportunity Employer</div></div><div></div><div>
We use <div>E-Verify</div> to confirm the identity and employment eligibility of all new hires.</div></div>

Postdoctoral Scientist

Servaid Pharmacy

<p><b>Location:</b> Remote (for a USA-based Startup)<br/><b>Experience Level:</b> 3+ Years (Computational Biology / Bioinformatics)<br/><b>Compensation:</b> Hourly USD rate (based on experience)<br/><b>Employment Type:</b> Remote | Contract / Part-Time<br/><b>Time Tracking:</b> Work hours monitored through a time-tracking tool</p><p><b>About the Role</b></p><p>A fast-growing <b>U.S.-based biotech startup</b> is seeking a <b>Computational Biologist / Bioinformatician</b> to support data-driven biological discovery. The ideal candidate will analyze multi-omics datasets, identify biomarkers, and collaborate with AI/ML engineers working on structure-based drug discovery and molecular modeling projects.</p><p><b>Key Responsibilities</b></p><ul><li>Source, curate, and integrate datasets from <b>TCGA, GEO, GTEx, ClinVar, gnomAD, and COSMIC</b>.</li><li>Harmonize clinical and omics metadata for consistent, reproducible datasets.</li><li>Perform <b>differential expression</b> and <b>survival analyses</b> to identify and validate biomarkers.</li><li>Deliver clean feature matrices, structured datasets, and analytical summaries for downstream use.</li><li>Collaborate with machine learning engineers using <b>AlphaFold</b> and <b>DiffDock</b> outputs.</li></ul><p><b>Required Skills &amp; Qualifications</b></p><ul><li>Strong background in <b>molecular biology, cancer biology, or genomics</b>.</li><li>Hands-on experience with <b>RNA-seq analysis</b>, <b>DESeq2/edgeR</b>, and <b>survival analysis</b>.</li><li>Proficiency in <b>Python</b> or <b>R</b> (Bioconductor, pandas, NumPy, scikit-learn).</li><li>Experience with <b>SQL</b> and workflow automation tools (<b>Snakemake</b>, <b>Nextflow</b>, <b>Docker</b>, <b>Git</b>).</li><li>Ability to interpret and present statistical analyses clearly and accurately.</li></ul><p><b>Preferred / Bonus Skills</b></p><ul><li>Familiarity with <b>single-cell RNA-seq</b> (Seurat or Scanpy).</li><li>Experience with <b>GDSC</b>, <b>DepMap</b>, or other drug response datasets.</li><li>Knowledge of <b>GSEA / pathway enrichment</b> analysis.</li><li>Understanding of <b>RDKit</b> or structure-based file handling.</li></ul><p><b>Why Join Us</b></p><ul><li>Work remotely with a dynamic, U.S.-based biotech startup.</li><li>Collaborate with global experts in genomics, ML, and molecular modeling.</li><li>Flexible work hours with transparent time tracking.</li><li>Competitive hourly USD compensation.</li></ul><p><b>To Apply:</b><br/>Send your updated CV and portfolio (if available) to <b>crewedge1@gmail.com</b></p><p>Job Type: Full-time</p><p>Pay: Up to Rs17.00 per hour</p><p>Expected hours: 40  &ndash; 48 per week</p><p>Application Question(s):</p><ul><li>Availability in overlapping time zones</li><li>Comfort with remote/time-tracked work</li></ul><p>Experience:</p><ul><li>Technical expertise (bioinformatics tools &amp; languages): 3 years (Preferred)</li><li>Practical experience with real datasets: 3 years (Preferred)</li></ul><p>Work Location: Remote</p>

Computational Biologist / Bioinformatician – Remote Opportunity – USD Hourly Rate

Genentech

<div><div><div>THE POSITION</div><div><b>
THE OPPORTUNITY</b></div><p>
The Research Pathology Department, an integral part of Genentech&rsquo;s Research and Early Development Organization (gRED), is dedicated to ensuring that strategies for the treatment of diseases are grounded in accurate analyses of pathogenetic mechanisms. Building upon a strong foundation in digital pathology, the department is at the forefront of advancing spatial omics capabilities, integrating cutting-edge, tissue-based technologies with computational methods to enable high-resolution spatial profiling of biological systems. By collaborating with therapeutic areas and research scientists, the department supports the discovery, characterization, and development of treatments for a wide range of diseases.</p><p></p><p>
DPIA-SO (Digital Pathology Image Analysis- Spatial Omics) is a specialized team within Research Pathology focused on collaborative spatial omics computational analysis. The team&rsquo;s mission is to provide scientists with actionable insights from high-dimensional imaging data by developing and employing transparent, reproducible, and scalable spatial analysis methods and pipelines. We are seeking a highly skilled and motivated Spatial Omics Computational Scientist to join our team.</p><p></p><p>
Key Responsibilities</p><ul><li><p>
Lead end-to-end analyses of single-cell spatial transcriptomics and proteomics datasets.</p></li><li><p>
Develop and apply advanced machine learning for spatial omics data analysis.</p></li><li><p>
Implement multi-modal data integration workflows for comprehensive biological insights.</p></li><li><p>
Analyze diverse spatial omics datasets from cutting-edge platforms (e.g., 10X Genomics Xenium/Visium HD, Lunaphore COMET).</p></li><li><p>
Collaborate with pathologists and researchers to interpret data and design experiments.</p></li><li><p>
Contribute to the advancement of spatial omics capabilities within Research Pathology.</p></li></ul><div></div><div><b>
WHO YOU ARE</b></div><ul><li><p>
Advanced degree (M.S. with 5+ years relevant experience or Ph.D.) in Computational Biology, Bioinformatics, Biomedical Engineering, Data Science, Imaging Science or a related field.</p></li><li><p>
Demonstrated tissue-based image processing experience.</p></li><li><p>
Proficiency in Python programming.</p></li><li><p>
Experience with machine learning techniques and tools (e.g., TensorFlow, PyTorch and scikit-learn).</p></li><li><p>
Experience in statistical analysis, structured data analysis (e.g. high dimensional data reduction, validation and statistics) and data visualization.</p></li><li><p>
Excellent problem-solving, communication, and collaborative skills as well as communication skills to present findings and prepare reports.</p></li></ul><div></div><div><b>
PREFERREDS</b></div><ul><li><p>
Expertise in single-cell spatial transcriptomics and/or spatial proteomics analysis.</p></li><li><p>
Hands-on experience with spatial omics platforms (e.g., 10X Genomics Xenium, Visium, Lunaphore COMET).</p></li><li><p>
Experience with multi-modal data integration combining various omics datasets.</p></li><li><p>
Basic knowledge of tissue histology and cell biology.</p></li><li><p>
Knowledge of computational and/or digital pathology workflows.</p></li><li><p>
Familiarity with tools like the scverse ecosystem (Scanpy, Squidpy, SpatialData) and image processing libraries (OpenCV, scikit-image).</p></li><li><p>
Understanding of infrastructure for managing large-scale imaging and single-cell data, including AWS cloud-based storage and distributed computing.</p></li><li><p>
Familiarity with tissue imaging techniques such as multiplexed immunofluorescence, in situ hybridization, or related methods.</p></li><li><p>
Background in experimental design for spatial omics or multi-modal studies.</p></li></ul><p></p><p>
Relocation benefits are available for this posting.</p><p></p><p>
The expected salary range for this position based on the primary location of South San Francisco, CA is $109,500 - $203,300. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.</p><p>
Benefits</p><p>
#LI-KC2</p><p>
#tech4lifeComputationalScience</p><p></p><p>
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.</p><p></p><p>
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.</p></div><p></p>
<div><div>JOB FACTS
</div><div><div><ul><div><b>Job Sub Category</b><b>
</b><p>Research Informatics
</p></div><div><b>Schedule</b><b>
</b><p>Full time
</p></div><div><b>Job Type</b><b>
</b><p>Regular
</p></div><div><b>Posted Date</b><b>
</b><p>Oct 24th 2025
</p></div><div><b>Job ID</b><b>
</b><p>202510-126866</p></div></ul></div></div></div></div><p></p>

Computational Scientist, Spatial Omics

Virginia Commonwealth University

<div><div><div><h3 class="jobSectionHeader"><b>Lead Bioinformatics Data Engineer, SOM, Stravitz-Sanyal Institute for Liver Disease
</b></h3><div><div><ul><li>45000976
</li></ul></div><div><ul><li>907 Floyd Avenue, MCV Main Campus, Virginia, United States, 23284
</li><li>907 Floyd Avenue, VCU Main Campus, Virginia, United States, 23284
</li></ul></div><div><ul><li>Research
</li></ul></div><div><ul><li>Staff
</li></ul></div><div></div><div><ul><li>School Of Medicine MBU</li></ul></div></div><div><br>
</div><div><p><b>Benefits</b>: All full-time university staff are eligible for VCU&rsquo;s robust benefits package that includes comprehensive health benefits, paid annual and holiday leave granted up front, generous tuition benefits, retirement planning and savings options, tax-deferred annuity and cash match programs, employee discounts, well-being resources, abundant opportunities for career development and advancement, and more.</p>
<p><b>
Unit:</b> SOM</p>
<p><b>
Department:</b> Stravitz-Sanyal Institute for Liver Disease</p>
<p>
Virginia Commonwealth University (VCU) School of Medicine is a premier academic medical center located in the heart of Richmond. Accounting for almost half of VCU&rsquo;s sponsored research, the School of Medicine is internationally recognized for patient care and education. All full-time university staff are eligible for VCU&rsquo;s generous benefits package that includes competitive health benefits, paid annual and holiday leave, retirement planning and savings options, tax-deferred annuity and cash match programs, Virginia Retirement System (VRS), professional development &amp; certifications, tuition waiver, parental leave, caregiving leave and community service leave. Learn more about VCU&rsquo;s benefits here: https://hr.vcu.edu/careers-at-vcu/why-work-at-vcu/</p>
<p><b>
Position summary:</b></p>
<p>
Join the Stravitz-Sanyal Institute on the ground floor of an ambitious program to build multi-omics resources for the global liver research community. You will work alongside luminaries and key opinion leaders in the fields of liver and metabolic health to accelerate and translate discoveries in disease biology. You will be the principal engineer who architects, implements, and evangelizes the data engineering stack that turns multimodal data into analysis-ready assets, powering institutional and global research efforts. The role combines deep hands-on work with technical leadership: you will set standards, guide architecture, and mentor peers.</p>
<p><b>
Key responsibilities:</b></p>
<ul>
<li>Strategic architecture &ndash; Define long-term data storage strategies and governance patterns that guarantee usability and scalability.</li>
<li>Pipeline engineering &ndash; Design and maintain ETL/ELT and workflow-managed pipelines (e.g., Nextflow, Snakemake) that ingest, transform, and harmonize multi-format data.</li>
<li>Cloud &amp; HPC enablement &ndash; Optimize processing on HPC and cloud infrastructure while remaining interoperable.</li>
<li>Data products &amp; APIs &ndash; Collaborate closely with bioinformatics scientists to deliver versioned data products with programmatic access, which feed visualization tools and support statistical workflows.</li>
<li>Quality, security &amp; compliance &ndash; Institute robust validation, provenance capture, and access-control measures. Align with institutional policies.</li>
<li>Technical leadership &ndash; Establish coding standards, CI/CD, infrastructure-as-code, and mentor junior engineers and analysts. Be a champion for a reproducible research culture.</li>
<li>Technology radar &ndash; Continuously evaluate emerging technologies that can support the mission of the Institute.</li>
</ul>
<p><b>Qualifications:</b></p>
<p><b>
Minimum Hiring Standards/Qualifications:</b></p>
Education/Experience &ndash; MSc/PhD in bioinformatics, computer science or related field and<ul><li> 5 years building production pipelines for large-scale omics and biomedical data.</li>
<li>Programming &ndash; Expert in Python (PyData), and SQL. R is a strong plus.</li>
<li>Workflow &amp; DevOps &ndash; Proven experience with workflow DSLs, Docker/Singularity, CI/CD, and IaC.</li>
<li>Cloud &ndash; Hands-on delivery with major cloud platforms.</li>
<li>Bioinformatics expertise &ndash; Deep familiarity with NGS, spatial omics, and imaging formats; experience integrating multi-omics datasets into harmonized schemas. Experience with spatial omics is a significant plus.</li>
<li>Communication &ndash; Ability to translate complex concepts for cross-disciplinary teams and influence technical direction.</li>
<li>Excellent analytical and design skills.</li>
<li>Detail oriented with advanced project management skills.</li>
<li>Good communication and presentation skills.</li>
<li>Demonstrated ability to work in and foster an environment of respect, professionalism and civility with a population of faculty, staff, and students from all backgrounds and experiences, or a commitment to do so as a staff member at VCU.</li>
</ul>
<p><b>Work environment &amp; benefits</b></p>
<ul>
<li>Impactful, greenfield build that will accelerate discovery in human health. Close collaboration with world-class clinicians and scientists.</li>
<li>Flexible work model: Richmond-based on-site/hybrid encouraged; open to remote. Progress is the key expectation.</li>
<li>Collaborative culture committed to mentorship and professional growth.</li>
<li>Comprehensive benefits package and competitive compensation.</li>
</ul>
<p><b>Additional Information:
</b></p><p>ORP Eligible: - YES<br>
Hours / weeks - 40 hours weekly<br>
Working Title Details: Lead Bioinformatics Data Engineer</p>
<p>
VCU Job Title: Sr. IT Architect Engineer</p>
<p>
University Code: (24264Y-24266Y)<br>
University Job Family: Information Technology</p>
<p>
The position will remain open until a candidate is selected.</p><br>
<p>
Salary Range: $120,000 - $160,000 /commensurate with experience</p>
<p>
FLSA Exemption Status: EXEMPT</p>
<p>
ORP Eligible: YES</p>
<p>
Flexible Work Arrangement: HYBRID</p>
<p><b>
Contact Information:</b><br>
<b>Contact Name: Demetria Patterson</b><br>
<b>Contact Email: </b><b>demetria.patterson1@vcuhelth.org</b></p></div></div></div></div>

Lead Bioinformatics Data Engineer, SOM, Stravitz-Sanyal Institute for Liver Disease

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