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Synthetic Data Generation Jobs in Indiana (NOW HIRING)

... generation, and engagement features, helping you save prep time and focus on impactful teaching ... Guides students through designing multistep synthesis routes, predicting regiochemistry and ...

... generation, and engagement features, helping you save prep time and focus on impactful teaching ... Guides students through designing multistep synthesis routes, predicting regiochemistry and ...

... generation, and engagement features, helping you save prep time and focus on impactful teaching ... Guides students through designing multistep synthesis routes, predicting regiochemistry and ...

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Synthetic Data Generation information

What are the key skills and qualifications needed to thrive in a Synthetic Data Generation role, and why are they important?

To excel in a Synthetic Data Generation role, you need a solid background in computer science, statistics, and data science, often supported by a relevant degree and experience in machine learning. Familiarity with tools such as Python, TensorFlow, PyTorch, and synthetic data generation platforms, as well as knowledge of privacy-preserving techniques, is typically required. Strong problem-solving abilities, creativity, and effective communication set top performers apart in this field. These skills and qualities are crucial for creating high-quality, realistic synthetic datasets that support robust AI model development while safeguarding sensitive information.

What is the salary of a synthetic data engineer?

The salary of a synthetic data engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and company size. Professionals with skills in data modeling, machine learning, and programming languages like Python or SQL tend to earn higher salaries.

Which 3 jobs will survive AI?

Synthetic Data Generation specialists are likely to continue being in demand as AI development requires high-quality, labeled data for training models. Roles involving data curation, domain expertise, and oversight of AI systems—such as data scientists, AI ethics officers, and machine learning engineers—are also expected to persist due to their specialized skills and the need for human judgment. These jobs often require technical knowledge, programming skills, and continuous learning to adapt to evolving AI technologies.

What is an example of synthetic data generation?

Synthetic data generation, relevant to roles like data scientists or AI engineers, involves creating artificial data that mimics real datasets using algorithms such as generative adversarial networks (GANs) or statistical models. For example, generating realistic customer transaction records for testing machine learning models without exposing sensitive information. This process helps improve model training while maintaining data privacy and security.

What is synthetic data generation?

Synthetic data generation is the process of creating artificial datasets that mimic real-world data. This technique is used to supplement or replace actual data for purposes such as machine learning, software testing, and research, especially when real data is scarce, sensitive, or costly to obtain. Synthetic data can help improve model accuracy, protect privacy, and enable innovation by providing diverse and unbiased datasets. It is commonly used in fields like healthcare, finance, and autonomous vehicles.

What is the difference between Synthetic Data Generation vs Data Analyst?

AspectSynthetic Data GenerationData Analyst
Required CredentialsKnowledge of data science, programming, and data privacyDegree in statistics, data science, or related field
Work EnvironmentData science teams, research labs, tech companiesBusiness environments, analytics teams, consulting firms
Industry UsageAI development, machine learning, data privacyBusiness insights, reporting, decision-making
Search & Comparison IntentUnderstanding data generation techniques, privacy solutionsAnalyzing data, generating reports, insights

While Synthetic Data Generation focuses on creating artificial data for privacy and model training, Data Analysts interpret existing data to provide business insights. Both roles require data-related skills but serve different purposes within the data ecosystem.

What are the main challenges faced by professionals working in synthetic data generation, and how can they be addressed?

Professionals in synthetic data generation often encounter challenges such as ensuring the generated data accurately represents real-world scenarios while maintaining privacy and data security. Balancing realism with anonymization is crucial, especially when synthetic data is used for AI model training or testing. Collaboration with data scientists, domain experts, and privacy officers is common to validate data utility and compliance with regulations. Staying current with advances in generative models and data validation techniques also helps address these challenges and contributes to career growth in this rapidly evolving field.

Is 40 too late for data science?

Age is not a barrier to entering data science or synthetic data generation roles. Many professionals successfully transition into these fields later in life by acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications. Experience, continuous learning, and adaptability are valued more than age in the tech industry.
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What job categories do people searching Synthetic Data Generation jobs in Indiana look for? The top searched job categories for Synthetic Data Generation jobs in Indiana are:
What cities in Indiana are hiring for Synthetic Data Generation jobs? Cities in Indiana with the most Synthetic Data Generation job openings:
Scientist Chemical Hazards Lab Synthetic Molecule Design and Development

Scientist Chemical Hazards Lab Synthetic Molecule Design and Development

Eli Lilly and Company

Indianapolis, IN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Eli Lilly and Company rating

8.8

Company rating: 8.8 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

11th of 86 rated pharmaceutical


Job description

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world.

Lilly's Synthetic Molecule Design and Development (SMDD) is involved in key activities for the development of active pharmaceutical ingredients and formulated drug products from pre-clinical phases through commercialization of drug substances and drug products for small molecules, synthetic oligonucleotides, and synthetic peptides. Our scientists develop key technical and business solutions across the portfolio using their deep technical expertise to speed up testing of the clinical hypothesis and overall drug development. SMDD tackles this diversity of responsibilities by recognizing that an even greater diversity of talents and cultures is necessary to deliver the next generation of life changing medicines to patients.


The Chemical Hazards Lab (CHL) within the Process Design and Development division of Synthetic Molecule Design and Development (SMDD) at Eli Lilly and Company provides thermal and dust hazard analyses for products and processes using rigorous experimental design and execution in conjunction with established methods for assessing thermal stability. The majority of the CHLs activity is related to small molecule development assets, although consultation and services are also provided to other Lilly Divisions (e.g., Manufacturing, pilot-plants, kilo-labs, Biologics R&D, Discovery Chemistry, and External Manufacturing).

The CHL workflow includes internal experimental activities (calorimetry, SADT Determination, flash point determination, Fall hammer tests), oversight of outsourced thermal testing activities (Dust explosivity, Vent Sizing, UN explosivity), and collaborating with SMDD scientists to design, develop, and execute inherently safe processes with Lilly Manufacturing or in our third party supplier network.

Job Requirements
Process Safety Design, Development, Testing and Consulting

  • Help ensure that people and their environment are safe and that company policies concerning safety are followed.
  • Understand and comply with corporate, divisional, and departmental procedures, including good manufacturing practices, safety, and other applicable regulations, and participate in the establishment and maintenance of PRD Quality systems.
  • Develop or review plans and timetables for project work. Updates and communicates progress, and proposes changes in project timetables, objectives, or direction.
  • Set up, operate, maintain, troubleshoot, calibrate and adjust the process safety testing equipment to ensure they are kept at optimal conditions to perform, or work with outside vendors to do the same. This will include, but not limited to, RC1 and EasyMax for reaction calorimetry, as well as DSC and ARC for screening.
  • Manage outsourcing of specialized safety testing as needed (e.g. dust hazard testing)
  • Document scientific procedures and results in laboratory notebooks, or other designated forms and author, review or approve scientific reports.
  • Prepare reports summarizing safety testing data and recommendations.
  • Execute projects in a timely manner, with attention to detail and follow through.
  • Evaluate potential new equipment and techniques.
  • Develop technical proficiency, think independently, exercise sound judgment that corresponds with experience, and adheres to safe work practices.
  • Pursue a career path with an emphasis on continuous learning and growth in new scientific fields and/or improving level of competency in field of expertise.

Minimum Qualifications

  • BS/MS in chemistry, chemical engineering, or a related engineering/scientific field.
  • Qualified applicants must be authorized to work in the United States on a full-time basis. Lilly will not provide support for or sponsor work authorization or visas for this role, including but not limited to F-1 CPT, F-1 OPT, F-1 STEM OPT, J-1, H-1B, TN, O-1, E-3, H-1B1, or L-1

Additional Skills/Preferences

  • Strong technical skills to solve problems to supply value and to impact business area and/or function.
  • Experience in synthetic molecule drug substance process development tools including HPLC, GC, IR.
  • Experience with evaluating process safety including risks of thermal decomposition, gas generation, vent sizing, static/conductivity, or dust explosivity; industrial hygiene risk assessments.
  • Basic knowledge of dust explosivity (Kst and Pmax) tests/test methods applicable to commercial scale process safety analysis and shipping practices. Knowledge and experience for data interpretation and analysis of experimental results as applied to process safety assessments.
  • Experience with commercial manufacturing scale process design and impact on safe operating conditions.
  • Experience in health and safety in manufacturing
  • Demonstrated leadership capabilities especially in a team environment.
  • Good interpersonal skills and demonstrate collaborative abilities (internally and externally). Good verbal and written communication skills.
  • Demonstrated success in persuasion, influence, and negotiation skills to support decision making along with mentoring skills
  • Good interpersonal skills and demonstrate collaborative abilities (internally and externally).
  • Passion for chemical process safety or safety in general

Additional Information:

Location: Indianapolis, IN LTC-N

Travel: less than 10%

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.


Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.

Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is

$65,250 - $169,400

Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.

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About Eli Lilly

Sourced by ZipRecruiter

Eli Lilly, based in Indianapolis, IN, US, is one of the pioneers in the pharmaceutical industry with a rich history dating back to 1876. This global pharmaceutical company focuses on discovering, developing, manufacturing and selling pharmaceutical products in approximately 120 countries. The company's product categories include endocrinology, oncology, cardiovascular, neuroscience, and immunology. Having invested over $9 billion in research and development in the past decade, Eli Lilly is also committed to creating high-quality medicines that meet real needs. As a recipient of several awards and recognitions, Eli Lilly is known for its focus on life-saving research and drug development. Their mission is to make medicines that help people live longer, healthier, and more active lives.

Industry

Pharmaceutical product wholesalers

Company size

10,000+ Employees

Headquarters location

Indianapolis, IN, US

Year founded

1876