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Entry Level Bioinformatics Data Scientist Jobs in Indiana

SynergisticIT

Python Programmer (Remote)

Fishers, IN · On-site

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for ...

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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:
Entry Level Bioinformatics Data Scientist jobs near you
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.
Postdoctoral Fellow, Biology

Postdoctoral Fellow, Biology

Indiana University

Bloomington, IN • On-site

$45K - $61K/yr

Full-time

Re-posted 11 days ago

Job description

Posting Details
Position Details
Title
Postdoctoral Fellow, Biology
Appointment Status
Non-Tenure Track
Department
IU Bloomington Biology
Location
Bloomington
Position Summary
The department of Biology is a large, unified department with strong undergraduate degrees, nationally-ranked graduate programs, and world-class research spanning the breadth of biological questions and experimental systems - from ecosystems to microbiology and developmental biology, from evolution to cell biology, from molecular biology to systems biology, bioinformatics, and genomics. It is always an exciting time for Biology - enormous advances in global genome analysis coupled with unprecedented developments in interdisciplinary research have made the 21st century the Century of Biology. For more information about the department, you can find it here:About: Department of Biology: Indiana University Bloomington.
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.
The Department of Biology at Indiana University Bloomington invites applications for a post-doctoral research position under the supervision of Dr. Chris Smith Home | Chris Smith The lab- in the Evolution,Ecology, and Behavior section-investigates machine learning approaches for spatial population genetics. Our research integrates custom neural architecture design, simulations, and publicly available genomic datasets to develop new inference methods. The Postdoctoral Associate will conduct research related to creating or testing deep learning models for genomics, exploring new techniques related to spatial simulations, or other topics discussed with the PI.
Basic Qualifications
Core job duties include: (1) Designing, implementing, and overseeing research projects focused on methods development for understanding genetic variation within and between populations, (2) building computational pipelines for conducting simulation experiments and analyzing genomic sequencing data, (3) writing scientific publications and presenting findings at conferences.
Other general responsibilities include: Actively participating in lab meetings and discussions.
Education and experience required: Ph.D. in computational biology, bioinformatics, computer science, or a related field. Demonstrated experience leading computational research projects is required for the proposed research. Expertise in population or evolutionary genetics is preferred but not required.
Required skills:
• Experience with Python
• Experience with high performance computing
• Development of reproducible analysis pipelines
• Strong time management and organizational skills
• Ability to work effectively as a team
• Excellent written and oral communication
• Dependability, initiative, and professionalism
Preferred skills:
• Experience with population genetics.
• Experience with deep learning libraries (e.g., PyTorch, TensorFlow) and development.
Working conditions/demands: The role requires the ability to move about within an office environment.
Department Contact for Questions
To apply: Please submit (1) a cover letter describing your research and educational background, career goals, why you are interested in the position, and the date you are available to start; (2) a current CV; (3) the names and contact information for two references. This can be submitted at the following link: https://indiana.peopleadmin.com/postings/32511
For questions about the position contact Chris Smith (chriscs@iu.edu).
Timing and compensation: Review of applicants will begin May 1 and continue until the position is filled. The ideal start is June 1, although the starting date can be adjusted to suit the candidate. The initial appointment is for one year, with potential reappointment for additional years contingent upon satisfactory performance and funding availability. Salary will be commensurate with experience and full benefits are included.
Additional Qualifications
Salary and Rank
Special Instructions
For Best Consideration Date
05/01/2026
Expected Start Date
06/01/2026
Posting Number
IU-101520-2026

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