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Entry Level Bioinformatics Data Scientist Jobs in Indiana

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 ...

Postdoctoral Fellow, Biology

Bloomington, IN ยท On-site

$45K - $61K/yr

... data, (3) writing scientific publications and presenting findings at conferences. Other general ... D. in computational biology, bioinformatics, computer science, or a related field. Demonstrated ...

Showing results 41-60

Entry Level Bioinformatics Data Scientist information

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?

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.

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 August 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 95% In-person, and 5% Remote job distribution.

Formulation Associate Scientist Entry Level

Pace

Indianapolis, IN โ€ข On-site

$23 - $25/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 hours ago


Job description

Shift:
Monday through Friday, 8:00AM - 5:00PM
Are you ready to work making the world a safer, healthier place? Join our mission to continuously move science forward; to innovate and advance all aspects of our business to improve the health and safety of our communities and lives.
Overview
This Associate Scientist - Animal Health R&D will provide hands-on support for early and late phase formulation and process development. This Associate Scientist will work under the guidance of senior scientists to execute formulation development studies for sterile injectable and freeze-dried (lyophilized) drug products.
Compensation: $23.00 - 25.00/hr
NOTE: This role is expected to last 12 months
Responsibilities
  • Design, execute, monitor, and document early developability and pre-formulation assessments, including stress testing, compounding screening, and formulation development studies
  • Ensure experimental work is well designed, executed, and documented with clear objectives and high-quality scientific standards
  • Organize and execute accelerated and real-time stability studies in accordance with established methods, protocols, and applicable regulatory guidelines
  • Utilize biophysical and analytical tools, including DSC, DLS, Zetasizer, viscometry, and particle analysis, to characterize drug candidates and evaluate physicochemical properties
  • Support process development activities for a variety of dosage forms, including sterile injectable and lyophilized products
  • Accurately collect, organize, analyze, and interpret experimental data to support formulation and process development decisions
  • Independently operate and perform basic troubleshooting of laboratory instrumentation and equipment relevant to assigned work
  • Recognize, communicate, and support the investigation of atypical results, equipment issues, and experimental deviations as needed
  • Accurately document experimental work in electronic laboratory notebooks in accordance with Good Documentation Practices (GDP)
  • Collaborate with scientists, cross-functional teams, and manufacturing partners to support the successful translation of laboratory findings into development programs
  • Participate in project meetings and contribute technical input, study updates, and experimental findings
  • Adapt to evolving project priorities and support multiple studies in a dynamic research and development environment
  • Maintain a safe, clean, and organized laboratory work environment and encourage safe laboratory practices
  • Contributes to a cohesive team environment and maintains a positive attitude

Qualifications:
  • Bachelor's degree in Pharmaceutical Sciences, Chemistry, Biochemistry, Chemical Engineering, or a related scientific discipline
  • 0-2 years of relevant experience (including internships or undergraduate research) in a laboratory setting, preferably involving biologics or biopharmaceutical products.
  • Hands-on experience working with standard laboratory equipment
  • Strong problem-solving skills, attention to detail, and high learning agility
  • Ability to work independently and collaborate within cross-functional teams
  • Effective written and verbal communication skills for documenting and presenting technical data
  • Demonstrated ownership with the ability to prioritize and manage multiple tasks efficiently

Additional Preferences:
  • Familiarity with or exposure to analytical characterization techniques (e.g., SEC, HPLC, DLS, DSC, etc.)
  • Exposure to protein formulation or lyophilization (freeze-drying) processes
  • Experience using basic statistical tools or Excel for data organization and visualization
  • Experience maintaining electronic laboratory notebooks
  • Ability to adapt flexibly and work effectively with others
  • Motivation to learn and grow within pharmaceutical science and development

Find Your Place at Pace - We need you - your curiosity, your talents, and your drive - to help us advance this important work.
Benefits
When you join Paceยฎ, you commit to work that makes a positive impact on our communities and our world. We commit to supporting you with benefits and perks that make a positive impact on your life. Full-time roles are eligible for our comprehensive benefits program which includes competitive salaries, medical, dental vision, 401K retirement savings plan (100% vested immediately in the employer match), life, disability and voluntary benefits, paid time off for holiday, sick and vacation days, HSA, wellness program, flexible spending accounts, tuition reimbursement, Employee Assistance program, parental leave, optional legal coverage and ID theft.
Equal Opportunity Employer
Paceยฎ provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, creed, color, religion, genetics, protected veteran status, national origin, sex, age, disability, marital status, sexual orientation, gender identity or expression, citizenship, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.