Research Associate

Job Title

Research Associate

Agency

Texas A&M University Health Science Center

Department

Molecular And Cellular Medicine

Proposed Minimum Salary

$14.53 hourly

Job Location

College Station, 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
The Health Science Center (HSC) is looking for a Research Associate to serve as a member of the Molecular and Cellular Medicine team. We desire an individual who subscribes to and supports our commitment as stated above. The successful applicant will bring an expert level of Research 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 Bachelor's degree

Required Experience:

• Two years of relevant professional experience

Required Special Knowledge, Skills, and Abilities:

• Ability to multitask and work cooperatively with others.
• Excellent verbal and written communication skills
• Knowledge of word processing, spreadsheet, and database applications
• Proficiency in programming languages such as R, Python, Matlab
• Ability to learn new tools and content quickly and independently
• Strong communication skills
• Strong analytical abilities and problem-solving skills
• Familiarity with software development best practices (e.g., unit testing, version control)
• Familiarity with inferential statistics and machine learning

Preferred Education:

• Masters degree in Biology or Computational Biology with coursework or relevant experience in computer science and statistics.
• Training in statistics, and programming experience in a UNIX/Linux environment using programming languages such as Python, R, and/or Perl is required.

Preferred Experience:

• At least two years' professional experience in data collection and analysis.
• 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
• Experience working with diverse individuals and communities

Preferred Special Knowledge, Skills, and Abilities:

• Expertise in computational biology and ability to devise innovative analytical approaches to high-volume genomic, epigenomic, and gene expression data.
• Strong work ethic and critical thinking abilities.
• Excellent verbal and written communication skills – in English – and capable of working within a team of wet and dry lab researchers.

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.
• Implement, apply and evaluate tools to process, integrate and visualize high throughput sequencing datasets
• Interpret the data and explain the results in research discussion.
• 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
• Provide support to lab members and collaborators in designing experiments and analyzing dataset
• Maintain, update software on TAMU cluster for the group. Organize data backups periodically.
• Contribute to our code base and to keep your own code in a github (or equivalent) repository with version control
• Present their work at group meetings and write up their work for publication.
• Other duties as assigned

In accordance with the federal contractor vaccination mandate , specific facilities at Texas A&M University may be considered a covered contractor workplace with covered contractor employees. Therefore, successful applicants for this position may be subject to the federal mandate and will be required to be fully vaccinated against COVID-19 as a condition of employment unless an approved medical or religious accommodation is in place

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.

In accordance with the federal contractor vaccination mandate , specific facilities at The Texas A&M System may be considered a covered contractor workplace with covered contractor employees. Therefore, successful applicants for this position may be subject to the federal mandate and will be required to be fully vaccinated against COVID-19 as a condition of employment unless an approved medical or religious accommodation is in place.

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.

Job Title

Research Associate

Agency

Texas A&M University Health Science Center

Department

Molecular And Cellular Medicine

Proposed Minimum Salary

$14.53 hourly

Job Location

College Station, 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
The Health Science Center (HSC) is looking for a Research Associate to serve as a member of the Molecular and Cellular Medicine team. We desire an individual who subscribes to and supports our commitment as stated above. The successful applicant will bring an expert level of Research 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 Bachelor's degree

Required Experience:

• Two years of relevant professional experience

Required Special Knowledge, Skills, and Abilities:

• Ability to multitask and work cooperatively with others.
• Excellent verbal and written communication skills
• Knowledge of word processing, spreadsheet, and database applications
• Proficiency in programming languages such as R, Python, Matlab
• Ability to learn new tools and content quickly and independently
• Strong communication skills
• Strong analytical abilities and problem-solving skills
• Familiarity with software development best practices (e.g., unit testing, version control)
• Familiarity with inferential statistics and machine learning

Preferred Education:

• Masters degree in Biology or Computational Biology with coursework or relevant experience in computer science and statistics.
• Training in statistics, and programming experience in a UNIX/Linux environment using programming languages such as Python, R, and/or Perl is required.

Preferred Experience:

• At least two years' professional experience in data collection and analysis.
• 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
• Experience working with diverse individuals and communities

Preferred Special Knowledge, Skills, and Abilities:

• Expertise in computational biology and ability to devise innovative analytical approaches to high-volume genomic, epigenomic, and gene expression data.
• Strong work ethic and critical thinking abilities.
• Excellent verbal and written communication skills – in English – and capable of working within a team of wet and dry lab researchers.

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.
• Implement, apply and evaluate tools to process, integrate and visualize high throughput sequencing datasets
• Interpret the data and explain the results in research discussion.
• 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
• Provide support to lab members and collaborators in designing experiments and analyzing dataset
• Maintain, update software on TAMU cluster for the group. Organize data backups periodically.
• Contribute to our code base and to keep your own code in a github (or equivalent) repository with version control
• Present their work at group meetings and write up their work for publication.
• Other duties as assigned

In accordance with the federal contractor vaccination mandate , specific facilities at Texas A&M University may be considered a covered contractor workplace with covered contractor employees. Therefore, successful applicants for this position may be subject to the federal mandate and will be required to be fully vaccinated against COVID-19 as a condition of employment unless an approved medical or religious accommodation is in place

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.

In accordance with the federal contractor vaccination mandate , specific facilities at The Texas A&M System may be considered a covered contractor workplace with covered contractor employees. Therefore, successful applicants for this position may be subject to the federal mandate and will be required to be fully vaccinated against COVID-19 as a condition of employment unless an approved medical or religious accommodation is in place.

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.