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Bioinformatics Programmer Analyst Jobs in Tennessee

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

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Bioinformatics Programmer Analyst information

What is a bioinformatics programmer analyst?

A Bioinformatics Programmer Analyst is a professional who combines knowledge of biology, computer science, and statistics to manage, analyze, and interpret complex biological data, often using programming and software development skills. They typically work with large datasets such as genomic sequences, gene expression profiles, or proteomics data to derive meaningful insights for research or clinical applications. Their role often involves developing software tools, writing scripts for data analysis, and collaborating with biologists and other scientists to solve research problems. Bioinformatics Programmer Analysts are essential in fields like genomics, pharmaceutical research, and personalized medicine.

What are the key skills and qualifications needed to thrive as a bioinformatics programmer analyst?

To thrive as a Bioinformatics Programmer Analyst, you need strong programming skills (such as Python, R, or Perl), a background in biology or bioinformatics, and typically a bachelor's or master's degree in a relevant field. Familiarity with bioinformatics tools, databases (like NCBI, Ensembl), and experience using Linux environments and version control systems (like Git) are essential. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and collaborating with research teams. These competencies are vital for accurately analyzing biological data and delivering actionable insights in research or clinical settings.

What are some common challenges faced by bioinformatics programmer analysts when integrating new data types into existing pipelines?

Bioinformatics Programmer Analysts often encounter challenges such as data heterogeneity, inconsistent formats, and varying quality when integrating new data types into established analysis pipelines. Addressing these issues requires careful data preprocessing, validation, and sometimes developing custom scripts or modules to ensure compatibility. Collaboration with biologists and data scientists is essential to understand the context of the new data and to tailor solutions that maintain the reliability and reproducibility of results. Staying adaptable and up-to-date with evolving bioinformatics tools and standards also helps in overcoming these integration challenges.

What is the difference between Bioinformatics Programmer Analyst vs Bioinformatics Data Scientist?

AspectBioinformatics Programmer AnalystBioinformatics Data Scientist
Required CredentialsBachelor's in Bioinformatics, Computer Science, or related field; programming skillsBachelor's or Master's in Bioinformatics, Data Science, or related; strong statistical and programming skills
Work EnvironmentResearch labs, biotech companies, healthcare institutionsResearch institutions, biotech firms, healthcare analytics
Employer & Industry UsageUsed in biotech, pharma, healthcare for data analysis and software development

The Bioinformatics Programmer Analyst primarily focuses on developing software tools and analyzing biological data using programming skills. In contrast, the Bioinformatics Data Scientist emphasizes statistical analysis and data modeling to interpret complex biological datasets. Both roles require strong programming knowledge and are common in biotech and healthcare industries, but their core responsibilities differ in software development versus data analysis.

What are popular job titles related to Bioinformatics Programmer Analyst jobs in Tennessee?

For Bioinformatics Programmer Analyst jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Bioinformatics Programmer Analyst jobs in Tennessee look for?

The top searched job categories for Bioinformatics Programmer Analyst jobs in Tennessee are:

What cities in Tennessee are hiring for Bioinformatics Programmer Analyst jobs?

Cities in Tennessee with the most Bioinformatics Programmer Analyst job openings:

Infographic showing various Bioinformatics Programmer Analyst job openings in Tennessee as of August 2026, with employment types broken down into 1% Internship, 81% Full Time, 11% Part Time, 1% Temporary, and 6% Contract. Highlights an 80% Physical, 8% Hybrid, and 12% Remote job distribution.

$78K - $139K/yr

Full-time

Re-posted 11 days ago


St. Jude Children's Research Hospital rating

8.6

Company rating: 8.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

43rd of 1,060 rated hospitals


Job description

The Department of Hematology at St. Jude Children's Research Hospital is seeking a highly motivated Senior Bioinformatics Analyst to join our research team focused on exploring the genetics of sickle cell disease. While sickle cell disease is a monogenic disorder, clinical outcomes vary across affected individuals, at least in part due to other genetic factors, many of which are yet to be discovered. The Senior Bioinformatics Analyst will have the opportunity to contribute to many projects aimed at elucidating the genetic etiology of sickle cell disease-related outcomes, including project conception, data analysis, and manuscript preparation. Specific responsibilities may include developing, evaluating, and/or implementing analytic, data visualization, and statistical approaches for genomics analyses. We are seeking candidates with expertise in identifying factors that modify disease risk or progression, treatment responsiveness, or survivorship. Candidates with a strong background in statistical genetics, genetic epidemiology, or bioinformatics are highly encouraged to apply for this position. Excellent communication skills are essential.
Our group is multidisciplinary, with collaborations across departments within St. Jude Children's Research Hospital, including the Center for Applied Bioinformatics and the Department of Biostatistics, allowing for cross-training and mentorship opportunities. As part of the Sickle Cell Clinical Research & Intervention Program, our group has access to rich longitudinal phenotypic data, and we have several ongoing and potential projects to examine the association between genetic variation and various clinical outcomes, including pain, renal function, and cognitive function. This position will also have access to state-of-the-art High Performance Computing systems. Additionally, there will be opportunity for collaboration with external scientists, as we are part of a multi-institutional effort to evaluate the genetics of sickle cell disease, including assessing germline genetic factors as well as characterizing the prevalence and consequence of clonal hematopoiesis (acquired somatic mutations) in individuals with sickle cell disease.
Job Responsibilities:
  • Collaborate with scientists across and outside the institution to develop and test hypotheses regarding the genetic modifiers of sickle cell disease.
  • Analyze genetic data with minimal supervision by performing advanced analysis, including quality control, data cleaning, statistical evaluation, and visualization.
  • Conduct genome-wide association studies (GWAS) and downstream and related analyses including transcriptome-wide association studies (TWAS).
  • Assist with project reports, presentations to diverse groups, and manuscripts.
  • Communicate findings clearly to technical and non-technical audiences.
  • Participate in the development and implementation of procedures to obtain new datasets.
  • Stay current on literature and routinely evaluate and integrate new analytical tools.

Minimum Education and/or Training:
  • Bachelor's degree in statistical genetics, genetic epidemiology, biostatistics, bioinformatics, computational biology, or statistics/computer science/data science (with a background in biological sciences) or related field.
  • Master's degree preferred.

Minimum Experience:
  • Minimum Requirement: 4+ years of relevant experience required.
  • Experience Exception: Master's degree and 1+ years of relevant experience.
  • Experience in at least one programming or scripting language and at least one statistical package, with R preferred.

Compensation
In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $78,000 - $139,360 per year for the role of Senior Bioinformatics Analyst.
Explore our exceptional benefits!
St. Jude is an Equal Opportunity Employer
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St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.

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