Postdoctoral Research Associate - Computational Biology

Texas A&M University

United States

August 20, 2021

Description

Job Title

Postdoctoral Research Associate - Computational Biology

Agency

Texas A&M University Health Science Center

Department

Molecular And Cellular Medicine

Proposed Minimum Salary

Commensurate

Job Location

Bryan, Texas

Job Type

Staff

Job Description

What we believe

Texas A&M University is committed to enriching the learning and working environment for all visitors, students, faculty, and staff by promoting a culture that embraces inclusion, diversity, equity, and accountability. Diverse perspectives, talents and identities are vital to accomplishing our mission and living our core values.”

Who we are

As one of the fastest-growing academic health centers in the nation, the Texas A&M University Health Science Center encompasses five colleges and numerous centers and institutes working together to improve health through transformative education, innovative research and team-based health care delivery.

What we want

We are looking for an individual to join our team. We desire an individual who subscribes to and supports our commitment as stated above. The successful applicant will bring an expert level of experience to the position and understand the demands of supporting executives in a fast-paced environment. This person must be professional, enjoy working in a high-volume environment and be able to apply strong organizational skills while being flexible in their daily routine. If this is you, we invite you to apply to become a member of our team.

Required Education:

  • Appropriate PhD
  • Required Special Knowledge, Skills, and Abilities:

  • Ability to multi-task and work cooperatively with others.
  • Training in statistics, and programming experience in a UNIX/Linux environment using programming languages such as Python, R, and/or Perl.
  • Preferred Education:

  • Recent PhD in computer science, bioinformatics, computational biology, machine learning or related fields.
  • Preferred Experience:

  • Experience in high-throughput analysis of next-generation sequencing data, familiarity with cluster computing and widely-used consortium datasets are advantageous.
  • Strong publication record in computer science, bioinformatics, computational biology, machine learning and related fields.
  • Preferred Special Knowledge, Skills, and Abilities:

  • Expertise in computational biology
  • Ability to devise innovative analytical approaches to high-volume genomic, epigenomic, and gene expression data.
  • Ability to work independently and take a leading role in data analysis, interpretation, and visualization, and drafting of manuscripts for publication.
  • Ability to have a strong work ethic, excellent organizational and communication skills, and critical thinking abilities.
  • Excellent verbal and written communication skills - in English - and be capable of working within a team of wet and dry lab researchers.
  • Experience working with diverse individuals and communities
  • Job Responsibilities

  • Perform hypothesis driven computational research with a clear understanding and use of controls.
  • Use computational methods to analyze large-scale sequencing data and formulate quantitative models.
  • Development and dissemination of statistical methodology, software development, and application to large-scale genetic epidemiological studies. Specific areas of interest include multiclass regression model, nonparametric modeling and methods, multiple hypothesis testing and machine learning.
  • Explore and bring novel approaches and ideas to their project by collaborating with other labs at TAMU and other collaborators.
  • Maintain, update software on TAMU cluster for the group. Organize data backups periodically..
  • Contribute to our codebase and to keep your own code in a github (or equivalent) repository with version control.
  • Data presentations and meetings
  • Present their work at group meetings and conferences, and write up their work for publication.
  • Other Duties as assigned
  • Instructions to Applicants: Applications received by Texas A &M University must either have all job application data entered or a resume attached. Failure to provide all job application data or a complete resume could result in an invalid submission and a rejected application. We encourage all applicants to upload a resume or use a LinkedIn profile to pre-populate the online application.

    All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution's verification of credentials and/or other information required by the institution's procedures, including the completion of the criminal history check.

    Equal Opportunity/Affirmative Action/Veterans/Disability Employer committed to diversity.

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