Postdoctoral Research Associate - Computational Biology
Texas A&M University Health Science Center
Molecular And Cellular Medicine
Proposed Minimum Salary
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
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 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.
Recent PhD in computer science, bioinformatics, computational biology,
machine learning or related fields.
Experience in high-throughput analysis of next-generation sequencing data,
familiarity with cluster computing and widely-used consortium datasets are
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
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
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
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
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
Equal Opportunity/Affirmative Action/Veterans/Disability Employer committed to