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Computational Biology, Postdocs, data scientists

Confidential Client•Healthcare
Entry LevelFull-timeOn-SiteN/A
United States
16 Hours Ago

The postdoctoral fellow position at Confidential Client's Xu Lab focuses on computational analysis of complex biological and multi-omic data, developing analytical pipelines, and applying AI and large language models to genomics and precision medicine. The role involves collaborative research with experimental teams to generate impactful discoveries and publications, advancing bioinformatics and data science skills in a cutting-edge biomedical environment.

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Description

About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Hospitals and Health Care.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.


What You’ll Do

We are seeking motivated postdoctoral researchers to join the Xu Lab at a Confidential Client to work on computational biology and bioinformatics projects. You will analyze large, complex biological datasets, build and maintain reproducible pipelines, and apply machine learning (including large language models and foundation models) and statistical methods to translate biological questions into actionable insights.

  • Analyze multi‑omic datasets (e.g., bulk and single‑cell sequencing, epigenomics, genomics).
  • Develop, test, and maintain sequencing-analysis and data-processing pipelines.
  • Apply and extend ML/AI methods (including foundation models / LLM approaches) for genomics and precision-medicine problems.
  • Collaborate closely with experimental and clinical researchers to design analyses and interpret results.
  • Prepare results for publication and presentation; contribute to manuscripts.
  • Participate in a multidisciplinary research environment and help mentor junior team members as appropriate.

Minimum Qualifications

  • Doctoral degree (Ph.D., DPhil, or equivalent) in bioinformatics, genetics/genomics, statistics, biostatistics, computer science, systems biology, or a closely related field.
  • Experience with Linux environments and command-line bioinformatics tools (required).
  • Experience analyzing next‑generation sequencing (NGS) or other high‑throughput biological data and developing/customizing analysis pipelines (strongly preferred).
  • Excellent spoken and written English communication skills.

Preferred / Helpful Experience

  • Prior work with multi‑omic datasets and integrative analyses.
  • Experience developing or applying machine learning / deep learning methods for biological data (foundation models or LLM-based approaches a plus).
  • Demonstrated track record of collaborative research leading to publications or significant project deliverables.
  • Familiarity with reproducible workflow systems (e.g., Nextflow, Snakemake) and version control is beneficial.

What We Offer

  • Multi‑year funded postdoctoral positions with support for research activities.
  • Collaborative environment bridging computational and experimental teams.
  • Opportunities to advance technical skills in bioinformatics, data science, and AI-for-biology, and to contribute to high-impact publications.
  • Mentorship toward careers in academia, industry, or biotech.

About the Team

The Xu Lab focuses on integrating AI, deep learning, and statistical genomics to discover disease‑relevant biology and therapeutic targets. The group emphasizes interpretable and generalizable AI frameworks that extend foundation models into genomics, epigenomics, and precision medicine and has a track record of publishing in high‑impact journals.


Location & Employment Type

This is a full‑time, on‑site postdoctoral position based in the Dallas, TX area. Employment will be with the Confidential Client.


Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.

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