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Phd Data Scientist Jobs in Indiana (NOW HIRING)

Master's or PhD degree in Computer Science, Statistics, Bioinformatics, Mathematics or equivalent ... Experience with Statistics, Data Mining, Machine Learning, Data Visualization, Cloud Computing, and ...

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Data Scientist Location: Columbus, IN Duration: 9 weeks Primary Skills: this is a fixed fee project ... PhD preferred. this is a fixed fee project for the duration of 9 weeks. Thanks & Regards! Parthu ...

  • Medical

  • Dental

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  • Life

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Advanced degree (MS or PhD) in AI, machine learning, data science, or related field * Experience developing AI-enabled automation frameworks or platforms supporting mission workflows * Experience ...

Associate Principal Scientist

Indianapolis, IN · On-site +1

$80K - $167K/yr

  • Medical

  • Life

Serve as a scientific resource for complex data interpretation, assay development, and problem ... PhD, Master's, or Bachelor's degree in chemistry, biochemistry, biology, or a related scientific ...

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Showing results 1-20

Phd Data Scientist information

See Indiana salary details

$43.8K

$157K

$231.7K

How much do phd data scientist jobs pay per year?

As of Aug 14, 2026, the average yearly pay for phd data scientist in Indiana is $157,025.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,000.00 and $161,800.00 per year, depending on experience, location, and employer.

What is a PhD data scientist?

PhD Data Scientists are professionals who have earned a doctoral degree (PhD) in a relevant field, such as computer science, statistics, mathematics, or engineering, and work in roles focused on analyzing and interpreting complex data. They leverage advanced research skills, deep theoretical knowledge, and expertise in data modeling to solve challenging problems, build predictive models, and derive actionable insights for organizations. PhD Data Scientists often contribute to cutting-edge projects, publish research, and help bridge the gap between academic research and practical, real-world applications.

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

AspectPhd Data ScientistData Analyst
Required CredentialsPhD or Master's in Data Science, Statistics, or related fieldBachelor's or Master's in related field, often with certifications
Work EnvironmentResearch-focused, complex modeling, advanced analyticsBusiness reporting, data visualization, basic analysis
Employer & Industry UsageTech, academia, research institutions, large corporationsBusiness, marketing, finance, healthcare

Phd Data Scientists typically have advanced degrees and focus on complex modeling and research, while Data Analysts handle more straightforward data reporting and visualization tasks. Both roles are essential in data-driven organizations but differ in scope and expertise.

What are the key skills and qualifications needed to thrive as a PhD data scientist?

To thrive as a PhD Data Scientist, you need advanced expertise in statistics, machine learning, and data analysis, typically backed by a PhD in a quantitative field. Proficiency with programming languages like Python or R, experience with big data tools (e.g., Hadoop, Spark), and familiarity with cloud platforms and version control systems are commonly required. Strong problem-solving skills, communication abilities, and the capacity to explain complex concepts to non-technical stakeholders are crucial soft skills. These skills and qualities are essential for extracting actionable insights from complex datasets and driving data-informed decision-making in organizations.

What are some common challenges PhD data scientists face when transitioning from academia to industry roles?

PhD Data Scientists often encounter challenges when moving from academia to industry, such as adapting to faster project timelines, prioritizing business impact over exploratory research, and communicating complex findings to non-technical stakeholders. In industry, there is a greater emphasis on collaborative teamwork and delivering actionable insights that align with organizational goals. Building skills in agile development, stakeholder engagement, and product-focused thinking can help smooth the transition and ensure success in a corporate environment.

What cities in Indiana are hiring for Phd Data Scientist jobs?

Cities in Indiana with the most Phd Data Scientist job openings:

Infographic showing various Phd Data Scientist 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 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $157,025 per year, or $75.5 per hour.

Expert Data Scientist

Roche

Indianapolis, IN

$129K - $240K/yr

Full-time

Posted yesterday

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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