2

Entry Level Bioinformatics Data Scientist Jobs in Indiana

... data. • Specialized knowledge of current scientific methods and testing procedures and the ... Incumbent will be the subject matter expert on bioinformatics ascepts of NGS results generated in ...

This entry-level role focuses on accurate execution, strong Good Documentation Practices (GDP), and ... Perform second-person verifications or peer reviews of data and documentation, as trained and ...

next page

Showing results 1-20

Entry Level Bioinformatics Data Scientist information

Is AI going to replace bioinformatics?

AI is a tool that enhances bioinformatics by automating data analysis and pattern recognition, but it is unlikely to fully replace bioinformatics data scientists. These professionals are essential for interpreting complex biological data, designing algorithms, and integrating AI with biological research. Skills in programming, statistical analysis, and domain knowledge remain critical in this evolving field.

Is there a shortage of bioinformaticians?

The demand for bioinformaticians, including entry-level data scientists in bioinformatics, is growing due to advances in genomics and personalized medicine. Employers often seek candidates with skills in programming, data analysis, and familiarity with tools like R and Python, leading to a favorable job market for qualified professionals.

What is the salary of a bioinformatics data scientist?

The salary of an entry-level bioinformatics data scientist typically ranges from $60,000 to $85,000 annually, depending on location, education, and industry. Professionals with skills in programming, statistical analysis, and experience with tools like R or Python tend to earn higher starting salaries.

What does an Entry Level Bioinformatics Data Scientist do?

An Entry Level Bioinformatics Data Scientist applies computational and statistical techniques to analyze biological data, such as DNA sequences or gene expression profiles. They work with large datasets to identify patterns, generate insights, and contribute to research in fields like genomics, drug discovery, or personalized medicine. Their tasks often include data cleaning, developing algorithms, running analyses, and visualizing results for scientific teams. They typically collaborate with biologists, statisticians, and software engineers to solve complex biological problems.

What are the key skills and qualifications needed to thrive as an Entry Level Bioinformatics Data Scientist, and why are they important?

To thrive as an Entry Level Bioinformatics Data Scientist, you need a solid background in biology, statistics, and computer science, often supported by a relevant degree in bioinformatics or a related field. Familiarity with programming languages such as Python or R, experience with bioinformatics tools like BLAST or Bioconductor, and knowledge of data analysis platforms are typically required. Strong problem-solving skills, attention to detail, and effective communication are important soft skills for interpreting complex data and collaborating with multidisciplinary teams. These skills and qualifications are essential for accurately analyzing biological data, generating meaningful insights, and contributing to research or clinical projects.

Can I get a data scientist job with no experience?

Entry level bioinformatics data scientist positions often require some foundational knowledge of programming, statistics, and bioinformatics tools. While prior experience is beneficial, candidates with relevant coursework, internships, or certifications can qualify for such roles and demonstrate their skills to employers.

What is the difference between Entry Level Bioinformatics Data Scientist vs Entry Level Bioinformatics Analyst?

AspectEntry Level Bioinformatics Data ScientistEntry Level Bioinformatics Analyst
Required CredentialsBachelor's in Bioinformatics, Biology, Computer Science; some roles prefer internships or certificationsBachelor's in Bioinformatics, Biology, or related field; similar educational background
Work EnvironmentResearch labs, biotech companies, healthcare institutions, academic settingsResearch labs, healthcare, biotech firms, academic institutions
Employer & Industry UsageUsed in biotech, pharma, healthcare, research institutionsCommon in research, healthcare, biotech sectors

Both roles require similar educational backgrounds and work environments, focusing on analyzing biological data. The main difference is that a Bioinformatics Data Scientist often involves more advanced data modeling, machine learning, and statistical analysis, whereas a Bioinformatics Analyst typically concentrates on data processing, visualization, and reporting. Entry Level Bioinformatics Data Scientists tend to handle more complex computational tasks, but both roles serve essential functions in biological research and industry applications.

What are some typical challenges faced by entry level bioinformatics data scientists during their first year on the job?

Entry level bioinformatics data scientists often encounter challenges such as adapting to complex biological datasets, learning to use specialized bioinformatics tools, and understanding the nuances of interdisciplinary collaboration with biologists and clinicians. Balancing data analysis with ongoing skill development in programming and statistics is another common hurdle. However, most teams provide mentorship and training to help new hires acclimate and build confidence in tackling real-world research problems.
What are the most commonly searched types of Bioinformatics Data Scientist jobs in Indiana? The most popular types of Bioinformatics Data Scientist jobs in Indiana are:
What are popular job titles related to Entry Level Bioinformatics Data Scientist jobs in Indiana? For Entry Level Bioinformatics Data Scientist jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Entry Level Bioinformatics Data Scientist jobs in Indiana look for? The top searched job categories for Entry Level Bioinformatics Data Scientist jobs in Indiana are:
Infographic showing various Entry Level Bioinformatics Data Scientist job openings in Indiana as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Bioinformatics Analyst

Bioinformatics Analyst

Indiana University

Indianapolis, IN • On-site

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 2 days ago


Job description

One of the first human genetics departments in the country, the Department of Medical and Molecular Genetics at Indiana University (IU) School of Medicine has a rich history of training geneticists and genetic counselors and providing genetic consultation and counseling services. Currently ranked 5th in the nation among Genetics Departments for National Institutes of Health (NIH) Funding, received in 2023, the department contributes to the understanding of numerous genetic conditions through the integration of basic research in genetic and genomic mechanisms, translational research in disease models, and clinical trials in rare and common genetic diseases.
Job Summary
The Bioinformatics Analyst supports translational and basic science research by providing expertise in the analysis and interpretation of large-scale biological datasets. The position collaborates closely with faculty and trainees to design experiments, identify appropriate analytical approaches, interpret results, and support grant and manuscript preparation.
Department-Specific Responsibilities
  • Processes and analyzes next-generation sequencing (NGS) data, including bulk and single-cell RNA sequencing, DNA sequencing, epigenomics, spatial transcriptomics, metabolomics, and other high-throughput data types
  • Develops, optimizes, and maintains bioinformatics pipelines
  • Performs statistical and computational analyses
  • Integrates multi-omics datasets
  • Generates reports, visualizations, and summaries for investigators
  • Contributes to the development of bioinformatics tools and databases
  • Ensures reproducible research practices, maintains documentation, and provides consultation and training to researchers
General Responsibilities
  • Employs a variety of computational sequence analysis (mathematical and computing) tools to model and analyze biological data in support of researchers
  • Accesses, extracts, and prepares data for analysis, including combining data run on multiple platforms as well as externally generated data in support of meta-analyses
  • Installs, configures, customizes, and supports analytical software for data on research clusters
  • Performs performance and reliability assessments to ensure systems are performing to maximum productivity and scientific validity
  • Documents consultation, analysis, and quality control efforts
  • Researches and stays up-to-date on emerging technologies/tools, trends, standards, and best practices related to bioinformatics
Qualifications
Combinations of related education and experience may be considered. Education beyond the minimum required may be substituted for work experience. Work experience beyond the minimum required may be substituted for education.
EDUCATION
Required
  • Bachelor's degree (preferably in computer science, bioinformatics, biology, or a related field)
Preferred
  • Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, Genetics, Biomedical Informatics, or a related field
WORK EXPERIENCE
Preferred
  • Experience analyzing high-throughput biological data, including next-generation sequencing (NGS) and other omics datasets
  • Experience analyzing transcriptomics, genomics, epigenomics, proteomics, metabolomics, single-cell, or spatial omics data
  • Experience developing and maintaining reproducible bioinformatics pipelines and workflows
  • Experience with bioinformatics tools, databases, and workflow management systems
  • Experience with multi-omics data integration and machine learning approaches
  • Experience supporting grant applications and scientific manuscript preparation
  • Experience working in an academic medical center, research institute, or biotechnology environment
SKILLS
Required
  • Proficient written and verbal communication skills
  • Maintains a high degree of professionalism
  • Demonstrated time management and priority setting skills
  • Demonstrates a high commitment to quality
  • Possesses flexibility to work in a fast paced, dynamic environment
  • Seeks to acquire knowledge in area of specialty
Preferred
  • Strong programming, statistical, and communication skills
  • Proficiency in programming languages such as R, Python, and/or Bash
  • Experience working in Linux/Unix computing environments
  • Familiarity with high-performance computing (HPC) environments, cloud computing platforms, and workflow management systems such as Snakemake or Nextflow
  • Knowledge of statistical methods and data analysis techniques applicable to biological and biomedical research
  • Strong analytical, problem-solving, and organizational skills
  • Excellent written and verbal communication skills, with the ability to present complex analytical results to multidisciplinary research teams
  • Ability to work independently and collaboratively in a fast-paced research environment
  • Demonstrated record of scientific publications, conference presentations, or collaborative research projects
  • Knowledge of data visualization tools and development of interactive web applications for data exploration
Working Conditions / Demands
This role requires the ability to effectively communicate and to operate a computer and other standard office productivity equipment. The position involves sedentary work as well as periods of time moving around an office environment and the campus. The person in this role must be able to perform the essential functions with or without an accommodation.
Work Location
Indiana University Indianapolis
Indianapolis, Indiana
This is an in-person position.
Advertised Salary
$50,648.00 - 53,580.60 per year based on experience and internal equity within the department.
Benefits Overview
For full-time staff employees, Indiana University offers a wide array of benefits including:
  • Comprehensive medical and dental insurance
  • Health savings account with generous IU contributions
  • Healthcare and dependent care flexible spending accounts
  • Basic group life insurance paid by IU
  • Voluntary supplemental life, long-term disability, critical illness, and supplemental accidental death & dismemberment insurance
  • Base retirement plan with generous IU contributions, subject to vesting
  • Voluntary supplemental retirement plan options
  • Tuition subsidy for employees and family members taking IU courses
  • 10 paid holidays plus a paid winter break each year
  • Generous paid time off plans
  • Paid leave for new parents and IU-sponsored volunteer events
  • Employee assistance program (EAP)
Learn more about our benefits by reviewing the IU Benefit Programs Brochure .
Job Classification
Career Level: Core
FLSA: Exempt
Job Function: Information Technology
Job Family: Data Analysis & Engineering
Click here to learn more about Indiana University's Job Framework.
Posting Disclaimer
This posting is scheduled to close at 11:59 pm EST on the advertised Close Date. This posting may be closed at any time at the discretion of the University, but will remain open for a minimum of 5 business days. To guarantee full consideration, please submit your application within 5 business days of the Posted Date.
If you wish to include a cover letter, you may include it with your resume when uploading attachments.
Equal Employment Opportunity
Indiana University is an equal opportunity employer and provider of ADA services and prohibits discrimination in hiring. See Indiana University Notice of Non-Discrimination here which includes contact information .
Campus Safety and Security
The Annual Security and Fire Safety Report, containing policy statements, crime and fire statistics for all Indiana University campuses, is available online . You may also request a physical copy by emailing IU Public Safety at iups@iu.edu or by visiting IUPD.
Contact Us
Request Support
Telephone: 812-856-1234
Apply for Job
  • Staff Positions
  • Sign In
  • New User
  • Enable Screen Reader Mode