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Bioinformatics Data Analyst Jobs in Indiana (NOW HIRING)

You have experience in the areas of analytics, data transformation, and data science. You are ... You have a Bachelor's degree in Computer Science, Statistics, Bioinformatics, Mathematics or ...

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Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software. * Excellent written communication skills to clearly explain complex scientific concepts to ...

Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software. * Excellent written communication skills to clearly explain complex scientific concepts to ...

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Bioinformatics Data Analyst information

See Indiana salary details

$6

$43

$78

How much do bioinformatics data analyst jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for bioinformatics data analyst in Indiana is $43.60, according to ZipRecruiter salary data. Most workers in this role earn between $34.33 and $46.68 per hour, depending on experience, location, and employer.

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

To thrive as a Bioinformatics Data Analyst, a solid background in biology, statistics, and programming (often with a degree in bioinformatics, computational biology, or a related field) is essential. Proficiency with tools such as R, Python, SQL, and bioinformatics software like BLAST or Bioconductor, as well as experience with large datasets and relevant certifications, is typically required. Strong analytical thinking, attention to detail, and effective communication skills help analysts interpret complex data and collaborate with interdisciplinary teams. These skills ensure accurate data analysis, meaningful biological insights, and successful project outcomes in research or clinical settings.

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

AspectBioinformatics Data AnalystBioinformatics Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related fieldsMaster's or PhD in Bioinformatics, Computational Biology, or related fields
Work EnvironmentData analysis teams, research labs, healthcare settingsResearch projects, development of algorithms, scientific publications
Employer & Industry UsageBiotech companies, healthcare institutions, research organizationsAcademic institutions, biotech firms, pharmaceutical companies
Common Search & ComparisonOften compared for data analysis roles in bioinformaticsMore research-focused, involved in algorithm development

Bioinformatics Data Analysts primarily focus on analyzing biological data using existing tools, while Bioinformatics Scientists develop new algorithms and conduct research. Both roles require strong computational skills, but the Scientist role typically involves more advanced research and innovation.

How do bioinformatics data analysts collaborate with researchers and other team members?

Bioinformatics Data Analysts often work closely with biologists, clinicians, and software engineers, acting as a bridge between experimental research and computational analysis. Collaboration usually involves interpreting experimental data, discussing analytical approaches, and presenting findings in a way that's accessible to non-technical stakeholders. Regular team meetings and project updates are common, and strong communication skills are essential for translating complex data insights into actionable information for the broader research team. This multidisciplinary teamwork fosters innovation and ensures that analyses align with the goals of larger research projects.

What is a bioinformatics data analyst?

Bioinformatics Data Analysts are professionals who use computational tools and methods to analyze biological data, such as genomic sequences or protein structures. They work at the intersection of biology, computer science, and statistics to interpret complex datasets and draw meaningful insights for research or clinical applications. Their work supports areas like drug discovery, personalized medicine, and evolutionary biology. Typically, they collaborate with biologists, software engineers, and statisticians to solve complex biological problems. Strong analytical skills and proficiency with data analysis software are essential for this role.

What cities in Indiana are hiring for Bioinformatics Data Analyst jobs?

Cities in Indiana with the most Bioinformatics Data Analyst job openings:

Infographic showing various Bioinformatics Data Analyst job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $90,692 per year, or $43.6 per hour.

Expert Data Scientist

Roche

Indianapolis, IN

$129K - $240K/yr

Full-time

Posted 2 days ago

New


Roche rating

9.3

Company rating: 9.3 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

3rd of 86 rated pharmaceutical


Job description

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

The Position

The Opportunity

As a Data Scientist, you will position data science as a key competency within the enterprise and be responsible for creating value from data assets using advanced analytics capabilities including data science, machine learning, and artificial intelligence methodologies to identify critical business risk and opportunities for Roche.

You will help Roche Diagnostics continue to progress through the data maturity model using data science methods and principles to generate deeper insights from a great variety of internal and external data sources. To achieve this, you will identify needs, lead the design and implementation of analytical solutions, provide advice and consulting support to our key business stakeholders and demonstrate value by executing proof-of-concept initiatives and prototyping analytical solutions to answer business questions.

You have an overall understanding of the key challenges in our industry. You have experience in the areas of analytics, data transformation, and data science. You are passionate about applying state-of-the-art analytical methods, as well as cutting edge machine learning algorithms to find solutions to complex business problems.

Key Responsibilities:

  • Identify high-impact data science use cases, develop and implement innovative solutions to drive business impact and develop state-of-the-art analytical capabilities to address identified needs.

  • Evaluate, drive and implement solutions from concept to minimum viable product and final product.

  • Apply analytical and statistical methods to solve identified use cases in an agile manner using multiple data sources and analytical tools.

  • Collaborate within cross-functional teams to develop solutions, gain alignment and deliver impactful business insights; engage necessary stakeholders to enable better decision-making.

  • Interpret and communicate analytics results clearly and concisely to audiences with varying backgrounds and degrees of technical understanding.

  • Take an enterprise mindset, linking individual responsibilities with the broader organization; focus on outcomes that provide most business value.

  • Partner with data science experts around the world within Roche to share best-in-class solutions and drive collaborative approaches towards data science challenges.

Who You Are

  • You have a Bachelor's degree in Computer Science, Statistics, Bioinformatics, Mathematics or equivalent field.

  • Master's or PhD degree in Computer Science, Statistics, Bioinformatics, Mathematics or equivalent preferred.

  • You have at least 5 years of commercial/industry experience, working in a hands-on capacity.

  • Experience with Statistics, Data Mining, Machine Learning, Data Visualization, Cloud Computing, and Distributed Systems.

  • Hands-on programming experience (Python, R, etc) along with a solid understanding of statistical and machine learning models. You have experience in implementing statistical learning methods or deep learning frameworks to solve problems.

  • Ability to work independently, prioritize within an interdisciplinary environment that includes (data) scientists, analysts, business stakeholders and consultants.

  • Experience with Agile development methods including Scrum and Kanban preferred.

  • Experience with AWS environments preferred.

  • Excellent communication and effective problem-solving skills; track record in serving a variety of diverse customers and projects.

  • Willingness to guide and inspire business stakeholders, data scientists and other colleagues along the journey into the world of data science.

The expected salary range for this position based on the primary location of Indiana is $129,300 - $240,100. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.

Benefits


Relocation benefits are not available for this job posting.

Who we are

A healthier future drives us to innovate. Together, more than 100'000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.


Let's build a healthier future, together.

Roche is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.


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