genomics scientist

Genentech

<div><div><div>THE POSITION</div>
We advance science so that we all have more time with the people we love.
The Department of Cell and Tissue Genomics (CTG) is focused on developing and applying state of the art genomics technologies (e.g. single cell omics, high-content imaging, perturbations, etc) to solve key challenges in disease biology, target discovery, and translational medicine. We are seeking a highly talented, creative, and motivated computational biologist to analyze cutting-edge high-dimensional profiling and screening data, with a particular focus on high-content imaging, to decipher complex cellular circuits. The candidate will collaborate closely with members of the department to extract biological insights from diverse high dimensional data sets and support the development of new technologies, leveraging existing computational workflows and developing novel ones.
The Opportunity:
As an integral member of our dynamic team, you will be:<ul><li>
Analyzing high-content imaging data from novel technologies including optical pooled screens, spatial transcriptomics, and high-content perturbation screens, with the goal of extracting mechanistic insights into gene function and cellular phenotypes.</li><li>
Developing methods to analyze and interpret new types of perturbation data.</li><li>
Applying statistics and machine learning to investigate data and extract biological insights.</li><li>
Collaborating across diverse, cross-functional teams including experimentalists in CTG and the therapeutic areas and colleagues in the Computational Sciences Center of Excellence and the AI Biology &amp; Translation departments</li></ul>
Who You Are:<ul><li>
PhD in Computational Biology, Bioinformatics, Computer Science, or a related quantitative field. Alternatively, a PhD in molecular biology, immunology, bioengineering, etc. combined with a very strong record of data analysis, supported by publication in this area. Postdoctoral training is a plus.</li><li>
Strong publication record of biological discovery and/or methods development.</li><li>
Deep expertise in image analysis, including image processing, feature extraction, and morphological profiling. Familiarity with modern deep learning approaches (e.g., embeddings, foundation models) is a plus.</li><li>
Comfortable with the statistical principles behind current best practices in high-throughput data analysis.</li><li>
Fluent in Python and/or R.</li><li>
Excellent communication and presentation skills.</li><li>
Able to work successfully in cross-functional teams to collaboratively solve complex problems.</li><li>
Passionate about applying your analytical skills to understand health and disease.</li></ul>
Preferred Experience:<ul><li>
Experience with in situ data (FISH or ISS barcode calling).</li><li>
Familiarity with image analysis frameworks or libraries (e.g., CellProfiler).</li><li>
Experience with genomic data including single cell RNA-seq and perturbation screens is a plus.</li><li>
Experience with applying machine learning to high throughput datasets is a plus.</li></ul>
Relocation benefits are available for this posting.
The expected salary range for this position based on the primary location of California for Senior Scientist is $124,300- $230,900 and Principal Scientist is $143,200-$265,900. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
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.
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.</div>
<div><div>JOB FACTS
</div><div><div><ul><div>Job Sub Category
Research Informatics
</div><div>Schedule
Full time
</div><div>Job Type
Regular
</div><div>Posted Date
Apr 10th 2026
</div><div>Job ID
202604-108731</div></ul></div></div></div></div>

Computational Scientist 3 - Cell & Tissue Genomics

Tract Bio

OverviewTract Bio, located in The Pearl Innovation District in Charlotte, NC, is seeking a highly motivated Bioinformatics Scientist to join our growing team. Tract Bio Therapeutics is a fast- growing startup developing novel small-molecule therapeutics. This position offers the opportunity to contribute to cutting-edge projects with direct translational impact.Key Responsibilities&middot; Integrate genomics, proteomics, and epigenomics data to identify and validate novel therapeutic targets for small-molecule intervention.&middot; Lead the analysis of large-scale datasets, specifically focusing on Whole Genome Sequencing (WGS), GWAS, ChIP-seq, and ATAC-seq to uncover regulatory mechanisms.&middot; Develop and maintain reproducible pipelines tailored for execution on standalone Linux servers.&middot; Administer the company&rsquo;s on-premise multi-server Ubuntu environment, ensuring high availability and security for the R&amp;D team.&middot; Partner with chemists and biologists to interpret biological data, guide mechanism-of- action studies, and support decision-making.Required Qualifications&middot; Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related field; OR M.S. with 3+ years of relevant industry experience.&middot; Demonstrated experience with WGS, GWAS, ChIP-seq, or ATAC-seq analysis pipelines and biological interpretation.&middot; Strong proficiency in Python and R for statistical analysis, algorithm development, and data visualization.&middot; Expert-level skills in managing Ubuntu/Debian systems, including setting up and managing secure remote access protocols (VPN, SSH tunneling), monitoring system resources and troubleshooting hardware/OS level issues.Preferred Qualifications&middot; Ph.D. with 2+ years of post-graduate industry experience in biotech or pharma.&middot; A strong publication record (e.g., 2+ first-author publications in peer-reviewed journals) demonstrating the ability to lead projects and communicate scientific findings.&middot; Deep understanding of molecular biology, immunology, or oncology&middot; Proficiency with pipeline tools (Nextflow, Snakemake) and version control (Git).&middot; Experience applying machine learning techniques or predictive modeling to identify patterns in high-dimensional biological datasets and prioritize therapeutic targets.Pay: $110,000.00 - $130,000.00 per yearBenefits:<ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Health insurance</li><li>Health savings account</li><li>Life insurance</li><li>Relocation assistance</li><li>Retirement plan</li><li>Vision insurance</li></ul>Application Question(s):<ul><li>Ph.D. in Bioinformatics, Computational Biology, Computer Science, or related field; OR M.S. with 3+ years of relevant industry experience.</li></ul>Demonstrated experience with WGS, GWAS, ChIP-seq, or ATAC-seq analysis pipelines and biological interpretation.Strong proficiency in Python and R for statistical analysis, algorithm development, and data visualization.Expert-level skills in managing Ubuntu/Debian systems, including setting up and managing secure remote access protocols (VPN, SSH tunneling), monitoring system resources and troubleshooting hardware/OS level issues.Deep understanding of molecular biology, immunology, or oncology.Proficiency with pipeline tools (Nextflow, Snakemake) and version control (Git).Experience applying machine learning techniques or predictive modeling to identify patterns in high-dimensional biological datasets and prioritize therapeutic targets.Education:<ul><li>Doctorate (Preferred)</li></ul>Security clearance:<ul><li>Confidential (Required)</li></ul>Ability to Relocate:<ul><li>Charlotte, NC 28204: Relocate with an employer provided relocation package (Preferred)</li></ul>Work Location: In person

Bioinformatics Scientist

The Home Depot

<div>Position Purpose:
Join our newly established Generative Business Intelligence (Gen BI) team and help shape the future of enterprise analytics. As a key player in this initiative, you will partner closely with IT to build a foundational enterprise semantic layer and design advanced, multi-agent architectures. Your work will drive a curated, persona-based approach to Gen BI, empowering end-users across the organization with seamless access to actionable, AI-driven insights grounded in verified, trusted BI metrics. 
The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role applies industry-leading analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. 
As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported. 
Key Responsibilities:<ul><li>
55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies</li><li>
20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner in order to influence execution of recommendation; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation</li><li>
10% Business Collaboration - Incorporate business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Work with project teams and business partners to determine project goals</li><li>
15% Technical Exploration &amp; Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position typically reports to Manager or above</li><li>
This position has 0 Direct Reports</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
Strong background in Business Intelligence (BI) and semantic layers.</li><li>
Experience building, deploying, or working with AI agents and multi-agent architectures.</li><li>
Hands-on experience with Databricks is a strong plus.</li><li>
Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience</li><li>
4+ years of experience in business intelligence and analytics</li><li>
Working knowledge of Microsoft Excel and Power Point</li><li>
Experience in a modern scripting language (preferably Python)</li><li>
Proficient running queries against data (preferably with Google BigQuery or SQL)</li><li>
Proficient with data visualization software (preferably Tableau)</li><li>
Proficient utilizing statistical techniques to identify key insights that help solve business problems</li><li>
Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP</li><li>
Demonstrated experience in predictive modeling, data mining and data analysis</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
3</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm</li><li>
Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals</li><li>
Collaborates: Building partnerships and working collaboratively with others to meet shared objectives</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Customer Focus: Building strong customer relationships and delivering customer-centric solutions</li><li>
Drives Results: Consistently achieving results, even under tough circumstances</li><li>
Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder</li><li>
Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement</li><li>
Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals</li><li>
Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels</li></ul></div>

Data Scientist - GenBI

American Cancer Society

<div>
 At the American Cancer Society, we're working to end cancer as we know it, for everyone. Our employees and 1.3 million volunteers are raising the bar every single day. We are a culture comprised of diverse backgrounds and experience, to better serve our communities.
 
 
 The people who work at the American Cancer Society focus their diverse talents on our lifesaving mission. It is a calling. And the people who answer it are fulfilled.
 
 
 The Associate Data Scientist, IT, Data &amp; Architecture will apply foundational data science and analytical techniques to drive insights that inform research, business strategy, and organizational decision-making. Working under the guidance of senior data scientists and data engineers, this role contributes to the development of data models, dashboards, and analysis that enhances understanding of program performance, and population health trends.
 
 
 The Associate Data Scientist will work with diverse data sources&mdash;including healthcare, demographic, behavioral, and operational datasets&mdash;to support projects across research analytics, and business analytics. The ideal candidate is detail-oriented, intellectually curious, and eager to learn modern data tools and methods while growing into an independent, high-impact contributor. This position offers an opportunity to build technical, analytical, and strategic expertise in a collaborative, mission-driven environment that values innovation, scientific rigor, and data ethics.
 
 
 ESSENTIAL FUNCTIONS:
 
 
 <ul>
 <li>
 Design, test, and deploy predictive and descriptive models to advance organizational strategy and outcomes, using Python, R, and related frameworks (e.g., Scikit-learn, TensorFlow, PyTorch). 35%
 </li>
 <li>
 Formulate and validate hypotheses through rigorous statistical testing, ensuring models are grounded in scientific and business relevance. 25%
 </li>
 <li>
 Apply advanced statistical, econometric, and machine learning methods to structured and unstructured datasets, including dense domains such as images or genomics. 20%
 </li>
 <li>
 Translate technical results into clear, actionable insights for both technical and non-technical stakeholders through effective storytelling and visualization. 10%
 </li>
 <li>
 Engage cross-functional teams to understand organizational challenges, frame analytical questions, and develop innovative, data-driven solutions that align with business objectives. 10%
 
 
 </li>
 </ul>
 EXPERIENCE/QUALIFICATIONS:
 
 
 <ul>
 <li>
 Minimum Degree Required: Bachelor's Degree in Computer Science, Engineering, Computational Biology, Econometric or equivalent experience.
 </li>
 <li>
 Preferred Degree: Master's Degree
 </li>
 <li>
 Certificate(s) or License(s): N/A
 </li>
 <li>
 Years of experience: 1-3 years of relevant experience. Proven experience as a data scientist from professional experience and/or formal education.
 
 
 </li>
 </ul>
 REQUIRED KNOWLEDGE, SKILLS, AND ABILITY:
 
 
 <ul>
 <li>
 Advanced modeling expertise; Proven experience developing and validating statistical, econometric, and machine learning models for predictive or descriptive applications.
 </li>
 <li>
 Technical proficiency in analytical programming; Expertise in Python (pandas, scikit-learn, NumPy, statsmodels, PyTorch, TensorFlow) or equivalent R packages, strong working knowledge of SQL.
 </li>
 <li>
 Strong quantitative and analytical foundation; Deep understanding of statistical inference, experimental design, and model evaluation metrics.
 </li>
 <li>
 Experience with complex data domains; Skilled in analyzing high-dimensional or unstructured data, such as images, text, or genomics data.
 </li>
 <li>
 Effective communicator and storyteller; Able to translate complex analytical results into clear, actionable insights for diverse audiences.
 </li>
 <li>
 Collaborative and business-focused mindset; Skilled at partnering with cross-functional teams to understand organizational challenges and design data-driven solutions.
 </li>
 <li>
 Entrepreneurial drive and intellectual curiosity; Self-directed problem solver who proactively identifies opportunities for innovation and impact.
 
 
 </li>
 </ul>
 PREFERRED KNOWLEDGE, SKILLS, AND ABILITY:
 
 
 <ul>
 <li>
 Strong proficiency in statistical modeling, machine learning, and predictive analytics using Python (pandas, scikit-learn, TensorFlow, PyTorch) or R, with experience developing and evaluating models on large, complex datasets.
 </li>
 <li>
 Hands-on experience with SQL, data wrangling, and feature engineering, and familiarity with cloud-based data ecosystems such as Azure, Snowflake, or Databricks for scalable data processing.
 </li>
 <li>
 Working knowledge of MLOps practices, including model versioning, experiment tracking (MLflow, DVC), and deployment workflows; experience with Git-based collaboration.
 </li>
 <li>
 Ability to communicate and visualize results effectively using tools such as Power BI, Tableau, matplotlib, or Plotly, translating complex analyses into actionable insights for business and research audiences.
 
 
 </li>
 </ul>
 TRAVEL REQUIREMENTS:
 
 
 <ul>
 <li>
 Occasional travel- 10-15% - may be required for department or program/project meetings, vendor management, or enterprise workshops.
 
 
 </li>
 </ul>
 PHYSICAL REQUIREMENTS:
 
 
 <ul>
 <li>
 Availability and ability to work after hours, weekends, holidays, etc. as needed, to be on call and/or to fulfill job responsibilities and requirements.
 
 
 </li>
 </ul>
 The starting rate is $85,000 to $95,000. The final candidate's relevant experience/skills will be considered before an offer is extended. Actual starting pay will vary based on non-discriminatory factors including, but not limited to, geographic location, experience, skills, specialty, and education.
 
 
 ACS provides staff a generous paid time off policy; medical, dental, retirement benefits, wellness programs, and professional development programs to enhance staff skills. Further details on our benefits can be found on our careers site at: jobs.cancer.org/benefits. We are a proud equal opportunity employer.
</div>

Associate Data Scientist

Duke University

<div>
 School of Medicine Established in 1930, Duke University School of Medicine is the youngest of the nation's top medical schools. Ranked sixth among medical schools in the nation, the School takes pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental scientific discoveries to improve human health locally and around the globe. Composed of more than 2,500 faculty physicians and researchers, more than 1,300 students, and more than 6,000 staff, the Duke University School of Medicine along with the Duke University School of Nursing, Duke University Health System and the Private Diagnostic Clinic (PDC) comprise Duke Health. a world-class academic medical center. The Health System encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Primary Care, Duke Home and Hospice, Duke Health and Wellness, and multiple affiliations.
 
 
 
 Be You.
 
 
 
 At Duke University School of Medicine, we celebrate individuality, curiosity, and the power of interdisciplinary thinking. As a
 
 Research Technician I (Computational Biology &amp; Bioinformatics)
 
 , you&rsquo;ll join a collaborative and inclusive research environment where your quantitative skills, creativity, and scientific interests directly contribute to advancing cancer and brain tumor genomics.
 
 
 In the lab of
 
 Dr. Yi Zhang
 
 , you&rsquo;ll work alongside computational scientists, cancer biologists, clinicians, and engineers to develop and apply innovative data science approaches that help uncover biological insights from complex genomics data.
 
 
 
 Be Bold.
 
 
 
 This role is designed for early-career scientists who are excited to push boundaries in
 
 machine learning, integrative genomics, and cancer biology
 
 .
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Develop and implement novel machine learning and data analysis methods for large-scale multi-omics datasets, including:
 </li>
 <ul>
 <li>
 Bulk and single-cell RNA sequencing
 </li>
 <li>
 Spatial transcriptomics
 </li>
 <li>
 Single-cell and bulk multi-omics
 </li>
 <li>
 Genetic variation and functional genomics data
 </li>
 </ul>
 <li>
 Apply computational methods to integrative genomics studies focused on:
 </li>
 <ul>
 <li>
 Cancer genomics
 </li>
 <li>
 Tumor microenvironment
 </li>
 <li>
 Brain tumors
 </li>
 </ul>
 <li>
 Collaborate closely with Dr. Yi Zhang and lab members on computational method development and biological interpretation.
 </li>
 <li>
 Partner with interdisciplinary collaborators across Duke and external institutions in quantitative genomics and data science.
 </li>
 <li>
 Communicate scientific findings through writing, presentations, and peer-reviewed publications.
 </li>
 <li>
 Contribute to an open, collaborative research culture through code sharing and open-source development.
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For (Preferred Qualifications)
 
 
 
 <ul>
 <li>
 BS or MS (completed within the last 1&ndash;3 years or to be completed within 1 year) in a quantitative discipline such as:
 </li>
 <ul>
 <li>
 Computational Biology, Bioinformatics, Computer Science
 </li>
 <li>
 Bioengineering, Biostatistics, Statistics, Mathematics
 </li>
 <li>
 Electrical Engineering, Biomedical Data Science, or related fields
 </li>
 </ul>
 <li>
 Experience (or strong interest) in data analysis method development and computational implementation.
 </li>
 <li>
 Proficiency in Python or R, Linux/Unix shell scripting; experience with genomics pipelines and GitHub is a plus.
 </li>
 <li>
 Strong motivation to analyze genomics data and extract meaningful biological insights.
 </li>
 <li>
 Interest or experience in areas such as:
 </li>
 <ul>
 <li>
 Cancer genomics
 </li>
 <li>
 Tumor microenvironment
 </li>
 <li>
 Single-cell and spatial omics
 </li>
 <li>
 Immunology, gene regulatory networks
 </li>
 <li>
 Non-coding genome, genetic variants, and functional genomics
 </li>
 </ul>
 <li>
 Excellent communication skills, including scientific writing and presentations.
 </li>
 <li>
 A demonstrated ability&mdash;or strong potential&mdash;to publish in peer-reviewed journals.
 </li>
 <li>
 Enthusiasm for working in a multidisciplinary, collaborative research environment.
 
 </li>
 </ul>
 
 Choose Duke.
 
 
 
 Dr. Yi Zhang is an
 
 Assistant Professor at Duke University School of Medicine
 
 , with faculty appointments in
 
 Neurosurgery; Biostatistics &amp; Bioinformatics; Biomedical Engineering; and Cell Biology
 
 , and is a member of the
 
 Duke Brain Tumor Omics Program
 
 at the Preston Robert Tisch Brain Tumor Center.
 
 
 
 Her Training Includes
 
 
 
 <ul>
 <li>
 PhD in Bioengineering, University of Illinois at Urbana&ndash;Champaign
 </li>
 <li>
 Postdoctoral training at Dana-Farber Cancer Institute and Harvard T.H. Chan School of Public Health
 
 
 </li>
 </ul>
 Dr. Zhang has published over
 
 20 peer-reviewed articles
 
 in leading journals such as
 
 Cell, Nature Communications, Cancer Discovery, Genome Biology, Nature Machine Intelligence,
 
 and
 
 Neuro-Oncology
 
 . She is the recipient of multiple prestigious awards, including the
 
 NIH NIGMS R35 Award
 
 ,
 
 EECS Rising Star
 
 , and
 
 Emerging Scholars in Genomics
 
 .
 
 
 
 At Duke, You&rsquo;ll Benefit From
 
 
 
 <ul>
 <li>
 A supportive, inclusive, and international research culture
 </li>
 <li>
 Access to world-class collaborators in computer science, genomics, cancer biology, immunology, and neurosurgery
 </li>
 <li>
 Resources and mentorship to help you grow a successful scientific career
 
 
 </li>
 </ul>
 
 Ready to Make a Difference?
 
 
 
 Join us at Duke University School of Medicine and help advance the future of cancer and brain tumor genomics through data-driven discovery.
 
 
 
 Apply today.
 
 
 
 
 Knowledge, Skills And Abilities
 
 
 
 N/A
 
 
 Level Characteristics
 
 
 N/A
 
 
 
 Minimum Qualifications
 
 
 
 Education
 
 
 Work requires an Associate's degree in botany, biology, zoology, psychology or other science related scientific field.
 
 
 
 Experience
 
 
 
 None required above education/training requirement OR AN EQUIVALENT COMBINATION OF RELEVANT EDUCATION AND/OR EXPERIENCE
 
 
 Degrees, Licensures, Certifications
 
 
 None required above education/training requirement OR AN EQUIVALENT COMBINATION OF RELEVANT EDUCATION AND/OR EXPERIENCE
 
 
 
 Anticipated Pay Range:
 
 Duke University provides an annual base salary range for this position as USD $18.00 to USD $26.49. Duke University considers factors such as (but not limited to) scope and responsibilities of the position; candidate's work experience, education/training, and key skills; internal peer equity; as well as market and organizational considerations when extending an offer.
 
 
 Your total compensation goes beyond the dollars on your paycheck. Duke provides comprehensive and competitive medical and dental care programs, generous retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/
 
 
 
 Equal Opportunity Employer:
 
 Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, (including pregnancy and pregnancy related conditions), sexual orientation, or military status.
 
 
 Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas&mdash;an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.
 
 
 
 Essential Physical Job Functions
 
 
 
 Certain jobs at Duke University and Duke University Health System may include essential job functions that require specific physical and/or mental abilities. Additional information and reasonable accommodation(s) can be requested with Duke Access and Accommodations Services (email: DAAS@duke.edu; phone: 919-668-1267).
</div>

RESEARCH TECHNICIAN I

Mount Sinai Health System

<div>Description
This position will serve as a senior computational scientist responsible for the analysis, integration, and interpretation of large-scale single-cell, multiomic, and genomic datasets generated by the laboratory. The individual will play a central role in transforming raw sequencing data into biologically interpretable models of human brain development and neuropsychiatric disease. The role includes end-to-end ownership of computational workflows spanning raw sequencing processing, genotype-based demultiplexing, single-cell and spatial transcriptomic analysis, and multiomic data integration. The scientist will lead the development and maintenance of reproducible analysis pipelines and will be responsible for ensuring consistency across large, heterogeneous datasets derived from multiple genetic and pharmacologic disease models.
A major component of the position involves integrating diverse datasets&mdash;including scRNA-seq, snATAC-seq, multiome, and spatial transcriptomics&mdash;with human fetal and postmortem reference atlases to define conserved and disease-specific cell states. The individual will also contribute to the identification of regulatory programs and candidate signaling pathways for experimental validation in organoid systems. This role requires close collaboration with experimental scientists to iteratively refine hypotheses, prioritize perturbation targets, and guide experimental design based on computational findings.
https://profiles.icahn.mssm.edu/deepak-kaji
Responsibilities
Data Processing &amp; Infrastructure<ul><li>
Process raw sequencing data (FASTQ), including alignment and quantification for single-cell and single-nucleus assays</li><li>
Perform genotype-based demultiplexing using tools such as cellsnp-lite and Vireo (or related methods)</li><li>
Build and maintain reproducible, well-documented analysis pipelines</li><li>
Genotype &amp; VCF Handling (critical component)</li><li>
Generate, curate, and harmonize VCFs from whole-genome sequencing and SNP array data</li><li>
Perform quality control, filtering, and format standardization across genotype sources</li><li>
Implement and troubleshoot imputation workflows and integration of mixed genotype datasets</li><li>
Ensure robust genotype&ndash;transcriptome linkage for accurate demultiplexing and downstream analyses</li></ul> 
Single-Cell &amp; Multiomic Analysis<ul><li>
Analyze scRNA-seq, snATAC-seq, multiome, and spatial transcriptomics datasets using modern frameworks (e.g., Scanpy, SnapATAC2, Squidpy, Pegasus or related tools)</li><li>
Perform dataset integration using probabilistic and deep learning approaches (e.g., scVI, scANVI or similar models)</li><li>
Conduct differential expression and variance partitioning analyses across complex designs (donor, condition, batch)</li><li>
Perform trajectory inference and lineage mapping across developmental systems</li></ul> 
Integrative &amp; Translational Analysis<ul><li>
Map organoid-derived cell states to in vivo fetal and postmortem datasets</li><li>
Identify conserved transcriptional and regulatory programs across genetic and pharmacologic disease models</li><li>
Infer gene regulatory networks and candidate signaling pathways</li><li>
Collaborate closely with experimental scientists to design experiments and prioritize perturbation targets</li></ul>
Qualifications<ul><li>
Masters degree or equivalent in computational biology, bioinformatics, genomics, or a related field - Ph.D. in a scientific domain preferred.</li><li>
Beginner level, with some experience in a scientific/academic computing environment or equivalent preferred.</li> 
<li>
Strong programming skills in Python (required); familiarity with R strongly preferred -</li><li>
Demonstrated experience working with single-cell genomics data -</li><li>
Strong quantitative and statistical background -</li><li>
Ability to work both independently and collaboratively in a highly iterative, interdisciplinary environment -</li><li>
Interest in biological interpretation and hypothesis generation, not just data processing</li></ul> 
Employer Description
Strength through Unity and Inclusion 

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. 

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. 

About the Mount Sinai Health System: 

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. 

Equal Opportunity Employer 

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. 

Compensation
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 $72473 - $108709 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.</div>

Associate Computational Scientist-Psychiatry Dr. Kaji

United Arab Emirates University, Department of Family Medicine

<div>
 
 Job Description
 
 
 
 The Department of Genetics &amp; Genomics at UAEU's College of Medicine and Health Sciences is seeking a qualified Clinical Geneticist to join our academic faculty. This role encompasses clinical service, medical education, and research in genetics and genomics. The successful candidate will contribute to the department's mission of advancing genomic literacy, clinical skills, and translational research to meet the healthcare needs of the UAE community. Key Responsibilities Teaching and Mentorship
 
 
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 Teach medical students, residents, fellows, and other healthcare trainees through lectures, bedside teaching, and mentorship.
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 Develop educational materials and participate in curriculum development for genetics education.
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 Support graduate programs, including the PhD in Genetics, Master in Genomic Medicine and the Master of Genetic Counseling . Research and Scholarly Activity
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 Conduct independent or collaborative research in clinical genetics, genomic medicine, or related fields.
 </li>
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 Publish in peer-reviewed journals and present at national and international conferences.
 </li>
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 Pursue external funding opportunities, if applicable.
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 Utilize state-of-the-art facilities, including the UAEU Genomics Laboratory equipped with next-generation sequencing platforms and advanced technologies in biochemical genetics and metabolomics . Clinical Duties
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 Provide outpatient and inpatient consultation services in clinical genetics, including general genetics, metabolic disorders, and cancer genetics clinics.
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 Interpret genetic and genomic tests and provide detailed counseling to patients and families.
 </li>
 <li>
 Collaborate with multidisciplinary teams at affiliated hospitals, such as Tawam Hospital, to deliver expert consultation services . Program Development and Community Engagement
 </li>
 <li>
 Participate in the growth and development of clinical genetics services.
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 <li>
 Engage with community groups and other educational providers to provide information and support.
 </li>
 <li>
 Contribute to establishing a cohesive network of genetic health professionals in the UAE .
 
 
 </li>
 </ul>
 Minimum Qualification
 
 
 <ul>
 <li>
 Medical degree (MD or equivalent) with board certification or eligibility in Clinical Genetics.
 </li>
 <li>
 Eligibility for medical licensure in the United Arab Emirates.
 </li>
 <li>
 Demonstrated interest and experience in teaching and academic scholarship.
 </li>
 <li>
 Commitment to advancing diversity, equity, and inclusion within academic and healthcare environments.
 
 
 </li>
 </ul>
 
 Preferred Qualification
 
 
 
 <ul>
 <li>
 Experience in research with a track record of scholarly productivity.
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 Subspecialty interest in areas such as cancer genetics, neurogenetics, metabolic disorders, or prenatal genetics.
 </li>
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 Experience with next-generation sequencing, gene therapy approaches, or precision medicine initiatives.
 
 
 </li>
 </ul>
 Close Date Kindly apply
 
 before
 
 the closing date.
 
 
 30/09/2026
 
 
 Apply
 
 
 Department
 
 
 Division
 
 
 Grade
 
 
 Posting Number
 
 
 Position Number
</div>

Assistant/Associate/Full Professor - Clinical Geneticist

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