Skip to content

Open nowPosted 7 days ago

Postdoctoral Research Associate-Computational Biology

Texas A&M University114 open roles

Where
Bryan, TX
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowPostdoctoral Research Associate-Computational BiologyTexas A&M University · Bryan, TX
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Texas A&M University's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. Texas A&M University postings stay open a median of 13 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: posted 7 days ago

Texas A&M University median: 13 days open

The posting

Job Title

Postdoctoral Research Associate-Computational Biology

Agency

Texas A&M University Health Science Center

Department

Cell Biology and Genetics

Proposed Minimum Salary

Commensurate

Job Location

Bryan, Texas

Job Type

Staff

Job Description

Our Commitment

Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived experiences. Embracing varying opinions and perspectives strengthens our core values which are: Respect, Excellence, Leadership, Loyalty, Integrity, and Selfless Service.

Who we are

As one of the fastest-growing academic health centers in the nation, Texas A&M Health 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

The Postdoctoral Research Associate, under general supervision, is responsible for conducting lab experiments, analyzing and communicating data in the form of primary research articles, aiding in grant writing, supervising undergraduate students, and performing routine lab duties as required.

What you need to know

Schedule: This position may require work beyond normal office hours and/or work on weekends.

Please note: This position is grant funded; future employment may be contingent upon future funding.

Responsibilities:

Data Analysis

  • Performs hypothesis-driven computational research with a clear understanding and use of controls.
  • Uses computational methods to analyze large-scale sequencing data and formulate quantitative models.
  • Interprets the data and explain the results in research discussion.
  • Implements, applies, and evaluates tools to process, integrate, and visualize high-throughput sequencing datasets

Data Presentation

  • Explores and brings novel approaches and ideas to their project by collaborating with other labs at TAMU and other collaborators.
  • Provides support to lab members and collaborators in designing experiments and analyzing datasets.
  • Presents their work at group meetings and write up their work for publication.
  • Communicates scientific results at lab meetings and scientific conferences

Software Development and Data Management

  • Explores and brings novel approaches and ideas to their project by collaborating with other labs at TAMU and other collaborators.
  • Provides support to lab members and collaborators in designing experiments and analyzing datasets.
  • Maintains, updates software on TAMU cluster for the group.
  • Contributes to our code base and to keep your own code in a github (or equivalent) repository with version control.

Lab Management

  • Supervises undergraduate and/or graduate students and other laboratory, technical or field staff involved in research.

Qualifications: Required Education

  • Appropriate PhD

Preferred Qualifications

  • PhD, Computational Biology, Bioinformatics, Computer Science
  • Training in statistics, and programming experience in a UNIX/Linux environment using programming languages such as Python, R, and/or Perl is required.
  • Experience in analysis of genomis /trancriptomic /epigenomic data including RNA-seq, ATAC-seq, and ChIP-seq.
  • Experience in working with high-performance computing environment.
  • Experience in data management and developing data-processing pipelines.
  • Proficiency in programming languages such as R, Python, Matlab.
  • Familiarity with software development best practices (e.g., unit testing, version control).
  • Familiarity with inferential statistics and machine learning.
  • Expertise in computational biology and ability to devise innovative analytical approaches to high-volume genomic, epigenomic, and gene expression data.
  • Capable of working within a team of wet and dry lab researchers.

Knowledge, Skills, and Abilities

  • Ability to multitask and work cooperatively with others.

Why Texas A&M University?

We are a prestigious university with strong traditions, Core Values, and a community of caring and collaboration. Amenities associated with a major university, such as sporting and cultural events, state-of-the-art recreation facilities, the Bush Library and Museum, and much more await you. Experience all that a big city has to offer but with a reasonable cost-of-living and no long commutes.

  • Medical, prescription drug, dental, vision, life and AD&D, flexible spending accounts, and long-term disability insurance with Texas A&M contributing to employee health and basic life premiums
  • 12-15 days of annual paid holidays
  • Up to eight hours of paid sick leave and at least eight hours of paid vacation each month
  • Automatic enrollment in the Teacher Retirement System of Texas
  • Health and Wellness: Free exercise programs and release time
  • Professional Development: All employees have access to free LinkedIn Learning training, webinars, and limited financial support to attend conferences, workshops, and more
  • Educational release time and tuition assistance for completing a degree while a Texas A&M employee
  • Living Well, a program at Texas A&M that has been built by employees, for employees

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/Veterans/Disability Employer.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Texas A&M University's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.
  3. We apply on Texas A&M University's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.
  4. Every reply, sorted

    Texas A&M University's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.
  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.