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Scientific Writing Jobs in Indiana (NOW HIRING)

Emphasizes clarity, conciseness, and accuracy in conveying complex information and connects technical writing to software development, engineering, healthcare, and scientific communication ...

Emphasizes clarity, conciseness, and accuracy in conveying complex information and connects technical writing to software development, engineering, healthcare, and scientific communication ...

Emphasizes clarity, conciseness, and accuracy in conveying complex information and connects technical writing to software development, engineering, healthcare, and scientific communication ...

Emphasizes clarity, conciseness, and accuracy in conveying complex information and connects technical writing to software development, engineering, healthcare, and scientific communication ...

Candidates with experience teaching courses such as environmental geology, introductory oceanography, and science writing are especially welcome to apply. Interest and ability to mentor and ...

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Scientific Writing information

See Indiana salary details

$10.5K

$67.1K

$75.6K

How much do scientific writing jobs pay per year?

As of Jun 26, 2026, the average yearly pay for scientific writing in Indiana is $67,085.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,800.00 and $70,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Scientific Writer, and why are they important?

To thrive as a Scientific Writer, you need a solid background in science, excellent written communication skills, and often an advanced degree in a scientific discipline. Familiarity with referencing software (such as EndNote or Zotero), medical databases, and journal submission systems is highly valuable. Attention to detail, critical thinking, and the ability to translate complex data into clear, concise language set outstanding scientific writers apart. These skills ensure scientific information is accurately communicated to both specialist and non-specialist audiences, supporting research dissemination and regulatory compliance.

How can I become a scientific writer?

To become a scientific writer, develop strong writing and research skills, often through a degree in a scientific or related field. Gaining experience with scientific publications, mastering tools like reference management software, and understanding the publication process can improve your prospects. Building a portfolio of writing samples and staying current with scientific developments are also beneficial.

How does a scientific writer typically collaborate with researchers and subject matter experts during the publication process?

Scientific writers work closely with researchers and subject matter experts to accurately interpret data, clarify complex concepts, and ensure that manuscripts adhere to journal guidelines. This collaboration often involves regular meetings to discuss drafts, iterative editing, and fact-checking to maintain scientific integrity. Building strong communication skills and adaptability is essential, as writers must bridge the gap between scientific rigor and clear, accessible language for the intended audience.

How much do scientific writers get paid?

Scientific writers typically earn between $50,000 and $100,000 annually, depending on experience, education, and the complexity of the subject matter. Entry-level positions may start lower, while experienced professionals or those working in specialized fields can earn higher salaries, especially with advanced degrees and strong writing skills.

What is a scientific writer?

A scientific writer is a professional who creates clear, accurate, and well-structured scientific documents such as research papers, reports, and articles. They often have strong writing skills, knowledge of scientific concepts, and familiarity with tools like reference management software and style guides to communicate complex information effectively.

What is scientific writing?

Scientific writing is a specialized form of writing used to communicate scientific information, research findings, and technical data clearly and accurately. It is commonly used in peer-reviewed journals, research papers, grant proposals, and laboratory reports. Scientific writing emphasizes clarity, precision, and objectivity, allowing other scientists to understand, replicate, and build upon the work. It typically follows a structured format, such as IMRAD (Introduction, Methods, Results, and Discussion), and uses formal language and citation standards.

Is scientific writing a good career?

Scientific writing is a viable career that involves creating clear, accurate, and well-structured scientific documents such as research papers, grant proposals, and technical reports. It requires strong writing skills, knowledge of scientific concepts, and often familiarity with tools like reference management software; job opportunities exist in academia, industry, and publishing. The field offers opportunities for specialization and remote work but may require advanced degrees or certifications depending on the industry segment.

What is the difference between Scientific Writing vs Scientific Editing?

AspectScientific WritingScientific Editing
Primary FocusCreating original scientific content, such as research papers and reportsReviewing and improving existing scientific documents for clarity and accuracy
Skills RequiredStrong writing, research, and communication skillsAttention to detail, editing, and knowledge of scientific terminology
Work EnvironmentResearch institutions, academic journals, biotech companiesPublishing houses, academic journals, research organizations
Common CertificationsScience degrees, writing certificationsEditing certifications, scientific editing training

Scientific Writing involves creating original scientific documents, while Scientific Editing focuses on refining and improving existing content. Both roles require a solid understanding of science and strong communication skills, but they serve different stages of the publication process.

What are the most commonly searched types of Scientific Writing jobs in Indiana? The most popular types of Scientific Writing jobs in Indiana are:
What job categories do people searching Scientific Writing jobs in Indiana look for? The top searched job categories for Scientific Writing jobs in Indiana are:
What cities in Indiana are hiring for Scientific Writing jobs? Cities in Indiana with the most Scientific Writing job openings:
Data Scientist Engineer - SFL Scientific

Data Scientist Engineer - SFL Scientific

Deloitte

Indianapolis, IN

Other

Posted 6 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

57th of 139 rated financial services


Job description

Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey-before, during, and after any major transformational projects or transactions.

SFL Scientific is a Deloitte Business that is part of our Strategy Offering, within our broader Strategy & Transactions practice mentioned above. This specialized team brings together several key capabilities to architect integrated programs that transform our clients' businesses. We are hiring a Data Scientist to collaborate directly with clients to design and develop novel projects and solutions. Join a rapidly growing team of professionals working to build a world-class data science practice focused on solving complex and R&D problems.

Recruiting for this role ends on 8/31/2026.

Work You'll Do

As a Data Scientist, you will define data strategy, drive technical development, and help us create the next generation of tools, products, and AI services. You will work closely with clients to understand their data sets, strategy, and operational requirements, to drive exploratory data and use case analysis and design long-term solutions.

Working with a team of interdisciplinary data scientists, engineers, architects, and consultants, our work includes novel areas such as cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, agentic solutions and framework design, and consumer product innovation. Join us to expand your technical career through the lens of consulting and work on novel projects and use cases to expand your data science & AI skills. Key responsibilities include: 

  • Guide clients with high autonomy in AI strategy and development, including understanding organizational needs, performing exploratory data analysis, building and validating models, and deploying models into production
  • Participate in client initiatives to deliver AI/ML solutions, including providing thought leadership, long-term maintenance, and AI strategy objectives
  • Research and implement novel machine learning approaches, including advancing state-of-the-art training, solution design, network design, and hardware optimization
  • Validate AI models and algorithm via code reviews, unit, and integration tests
  • Support prioritization of project performance and model development and ensure AI solutions are delivered to maximize business impact and new initiatives
  • Collaborate with data engineers, data scientists, project managers, and business teams to make sure delivery and presentations align with business objectives

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The Team 

Our Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation.

SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI). The team has a proven track record serving large, market-leading organizations in the private and public sectors, successfully delivering high-quality, novel and complex projects, and offering deep domain and scientific capabilities. We are advancing both predictive and generative AI technologies while maintaining a commitment to data-driven decision making across all levels of a client's organization, building solutions that drive growth and create meaningful impact. Made up of experienced AI strategists, data scientists, and AI engineers, they serve as trusted advisors to executives, helping them understand and evaluate new and essential areas for AI investment and identify unique opportunities to transform their businesses.

Qualifications:

Required:

  • Master's or Ph.D. in a relevant STEM field (Data Science, Computer Science, Engineering, Physics, Mathematics, etc.)
  • 2+ years of experience in AI/ML algorithm development using core data science languages and frameworks (Python, PyTorch, etc.) and data analysis (NLP, time-series analysis, computer vision)
  • 2+ years of experience and a proven track record applying traditional ML and deep learning techniques (CNNs, RNNs, GANs) across real-world projects, including model tuning and performance validation in production environments
  • 2+ years of experience deploying and optimizing ML models using tools like Kubernetes, Docker, TensorRT/Triton, RAPIDs, Kubeflow, and MLflow
  • 2+ years of experience in leveraging cloud environments (AWS, Azure, or GCP) to deploy AI/ML workloads
  • Live within commuting distance to one of Deloitte's consulting offices
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred:

  • 2+ years of experience working in a client-facing, consulting environment
  • 1+ years of experience leading project/client engagement teams in the execution of complex AI data science solutions
  • 1+ year of experience with LLM/GenAI use cases and developing RAG solutions, agent-based tools and services, and GenAI frameworks (i.e., LangChain, LangGraph, MCP, etc.)
  • 1+ year of experience with AWS Sagemaker or AWS ML Studio

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $95,600 to $188,400.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey-before, during, and after any major transformational projects or transactions.

SFL Scientific is a Deloitte Business that is part of our Strategy Offering, within our broader Strategy & Transactions practice mentioned above. This specialized team brings together several key capabilities to architect integrated programs that transform our clients' businesses. We are hiring a Data Scientist to collaborate directly with clients to design and develop novel projects and solutions. Join a rapidly growing team of professionals working to build a world-class data science practice focused on solving complex and R&D problems.

Recruiting for this role ends on 8/31/2026.

Work You'll Do

As a Data Scientist, you will define data strategy, drive technical development, and help us create the next generation of tools, products, and AI services. You will work closely with clients to understand their data sets, strategy, and operational requirements, to drive exploratory data and use case analysis and design long-term solutions.

Working with a team of interdisciplinary data scientists, engineers, architects, and consultants, our work includes novel areas such as cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, agentic solutions and framework design, and consumer product innovation. Join us to expand your technical career through the lens of consulting and work on novel projects and use cases to expand your data science & AI skills. Key responsibilities include: 

  • Guide clients with high autonomy in AI strategy and development, including understanding organizational needs, performing exploratory data analysis, building and validating models, and deploying models into production
  • Participate in client initiatives to deliver AI/ML solutions, including providing thought leadership, long-term maintenance, and AI strategy objectives
  • Research and implement novel machine learning approaches, including advancing state-of-the-art training, solution design, network design, and hardware optimization
  • Validate AI models and algorithm via code reviews, unit, and integration tests
  • Support prioritization of project performance and model development and ensure AI solutions are delivered to maximize business impact and new initiatives
  • Collaborate with data engineers, data scientists, project managers, and business teams to make sure delivery and presentations align with business objectives

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The Team 

Our Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation.

SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI). The team has a proven track record serving large, market-leading organizations in the private and public sectors, successfully delivering high-quality, novel and complex projects, and offering deep domain and scientific capabilities. We are advancing both predictive and generative AI technologies while maintaining a commitment to data-driven decision making across all levels of a client's organization, building solutions that drive growth and create meaningful impact. Made up of experienced AI strategists, data scientists, and AI engineers, they serve as trusted advisors to executives, helping them understand and evaluate new and essential areas for AI investment and identify unique opportunities to transform their businesses.

Qualifications:

Required:

  • Master's or Ph.D. in a relevant STEM field (Data Science, Computer Science, Engineering, Physics, Mathematics, etc.)
  • 2+ years of experience in AI/ML algorithm development using core data science languages and frameworks (Python, PyTorch, etc.) and data analysis (NLP, time-series analysis, computer vision)
  • 2+ years of experience and a proven track record applying traditional ML and deep learning techniques (CNNs, RNNs, GANs) across real-world projects, including model tuning and performance validation in production environments
  • 2+ years of experience deploying and optimizing ML models using tools like Kubernetes, Docker, TensorRT/Triton, RAPIDs, Kubeflow, and MLflow
  • 2+ years of experience in leveraging cloud environments (AWS, Azure, or GCP) to deploy AI/ML workloads
  • Live within commuting distance to one of Deloitte's consulting offices
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred:

  • 2+ years of experience working in a client-facing, consulting environment
  • 1+ years of experience leading project/client engagement teams in the execution of complex AI data science solutions
  • 1+ year of experience with LLM/GenAI use cases and developing RAG solutions, agent-based tools and services, and GenAI frameworks (i.e., LangChain, LangGraph, MCP, etc.)
  • 1+ year of experience with AWS Sagemaker or AWS ML Studio

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $95,600 to $188,400.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual...


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