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Entry Level Bioinformatics Data Scientist Jobs in Indiana

Data Scientist

Indianapolis, IN · On-site

$105 - $195/hr

Master's or PhD degree in Computer Science, Statistics, Bioinformatics, Mathematics or equivalent preferred. You have at least 2 years of commercial/industry experience, working in a hands‑on ...

New

Data Scientist

Indianapolis, IN · On-site

$105K - $195K/yr

You have a Bachelor's degree in Computer Science, Statistics, Bioinformatics, Mathematics or ... Experience with Statistics, Data Mining, Machine Learning, Data Visualization, Cloud Computing, and ...

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

... 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 ...

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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 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 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 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 90% Full Time, 5% Part Time, and 5% Nights. Highlights an 95% In-person, and 5% Remote job distribution.

$105 - $195/hr

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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 2 years of commercial/industry experience, working in a hands‑on capacity; 4 years preferred. 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.

Salary and Benefits

The expected salary range for this position based on the primary location of Indiana is $105,000 - $195,000. 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

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. We believe it’s urgent to deliver medical solutions right now – even as we develop innovations for the future. We are passionate about transforming patients’ lives. We are courageous in both decision and action. And we believe that good business means a better world. That is why we come to work each day. We commit ourselves to scientific rigor, unassailable ethics, and access to medical innovations for all. We do this today to build a better tomorrow. We are proud of who we are, what we do, and how we do it. We are many, working as one across functions, across companies, and across the world. We are Roche.

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