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Remote Biomedical Data Scientist Jobs in Indiana

Cummins

Data Scientists - Seniors #IN1290

Columbus, IN · On-site +1

$115K - $158K/yr

Remote Location: Columbus and various unanticipated locations throughout the US *Annual USD Salary Minimum - Maximum $115,419 - 158,400 Positions require aMaster's degree in Computer or Data Science ...

Cummins Inc.

Data Scientists - Seniors #IN1290

Columbus, IN · On-site +1

$115K - $158K/yr

Remote Location: Columbus and various unanticipated locations throughout the US *Annual USD Salary Minimum - Maximum $115,419 - 158,400 Positions require aMaster's degree in Computer or Data Science ...

Cummins Inc.

Data Scientists - Seniors #IN1290

Columbus, IN · On-site +1

$115K - $158K/yr

Remote Location: Columbus and various unanticipated locations throughout the US *Annual USD Salary Minimum - Maximum $115,419 - 158,400 Positions require aMaster's degree in Computer or Data Science ...

Cummins

Data Scientists - Seniors #IN1290

Columbus, IN · On-site +1

$115K - $158K/yr

Remote Location: Columbus and various unanticipated locations throughout the US *Annual USD Salary Minimum - Maximum $115,419 - 158,400 Positions require aMaster's degree in Computer or Data Science ...

Belden Inc

Data Technical Specialist - Remote

Richmond, IN · On-site +1

$101K - $152K/yr

Bachelor's degree in Computer Science, Information Technology, or a related field. * Strong ... Belden also offers hybrid and remote work practices where feasible and provides employees with ...

Circle

Staff Software Engineer, Data Platform

Miami, IN · On-site +1

These components power our Product, Engineering, Analytics, and Data Science teams by enabling ... Excellent communication skills, with the ability to collaborate across multiple remote teams, share ...

Circle

Staff Software Engineer, Data Platform

Austin, IN · On-site +1

These components power our Product, Engineering, Analytics, and Data Science teams by enabling ... Excellent communication skills, with the ability to collaborate across multiple remote teams, share ...

Circle

Staff Software Engineer, Data Platform

Boston, IN · On-site +1

These components power our Product, Engineering, Analytics, and Data Science teams by enabling ... Excellent communication skills, with the ability to collaborate across multiple remote teams, share ...

EHOB INC

Operations Data Analyst

Indianapolis, IN · On-site +1

Bachelor's degree with a concentration in Business, Mathematics, Statistics, Data Science, or a ... We do not offer relocation or remote work for this position. ** Other Skills * Language skills:

CSpring

Senior Data Analyst

Indianapolis, IN · On-site +1

$82K - $103K/yr

... with company's remote work policy. * Domestic travel required less than 2% of the time ... Bachelor's degree in Computer Science, Information Systems, Systems Engineering, or a related field ...

CSpring

Senior Data Analyst

Indianapolis, IN · On-site +1

$82K - $103K/yr

... with company's remote work policy. * Domestic travel required less than 2% of the time ... Bachelor's degree in Computer Science, Information Systems, Systems Engineering, or a related field ...

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Remote Biomedical Data Scientist information

What are some common challenges faced by remote biomedical data scientists, and how can they be addressed?

Remote biomedical data scientists often encounter challenges such as collaborating effectively with cross-functional teams, managing large and sensitive datasets, and ensuring clear communication with researchers and clinicians. To address these, it's important to utilize secure data-sharing platforms, maintain regular virtual meetings, and document analyses thoroughly. Additionally, leveraging collaborative tools and staying updated on data privacy regulations can help ensure smooth workflows and compliance.

What are the key skills and qualifications needed to thrive as a Remote Biomedical Data Scientist, and why are they important?

To thrive as a Remote Biomedical Data Scientist, you need expertise in statistics, machine learning, data analysis, and a solid background in biology or biomedical sciences, often supported by an advanced degree. Familiarity with programming languages such as Python or R, experience with bioinformatics tools, and knowledge of data management systems are typically required. Strong problem-solving skills, effective communication, and the ability to collaborate virtually are essential soft skills in this role. These competencies enable accurate interpretation of complex biomedical data and facilitate impactful research or product development in remote, interdisciplinary environments.

Is 40 too late for data science?

Age is not a barrier to becoming a biomedical data scientist; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistical analysis, and domain knowledge, which can be developed through online courses and certifications regardless of age.

Can I get a remote job as a data scientist?

Remote data scientist positions are widely available across various industries, including biomedical data science. These roles typically require strong skills in programming, statistical analysis, and data visualization, and often involve using tools like Python, R, or SQL. Many companies offer remote work options, especially for experienced professionals with relevant certifications and a proven track record in data analysis.

What is a Remote Biomedical Data Scientist?

A Remote Biomedical Data Scientist is a professional who analyzes complex biological and medical data from a remote location, often working from home or another offsite setting. They use statistical methods, machine learning, and computational tools to interpret data related to healthcare, genomics, clinical trials, or medical imaging. Their work helps improve patient outcomes, advance scientific research, and inform healthcare decisions. Remote roles typically require strong communication and collaboration skills to work effectively with multidisciplinary teams online.

What remote jobs can I do with a biomedical science degree?

A remote biomedical data scientist role involves analyzing biological and clinical data to support research and healthcare decisions, often requiring skills in programming, statistics, and data visualization tools. Other remote jobs include medical writing, bioinformatics analysis, regulatory affairs, and telehealth consulting, which leverage biomedical knowledge and technical expertise. These positions typically require strong communication skills and familiarity with data analysis software like R or Python.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. For a remote biomedical data scientist, focusing on the most impactful variables or features can improve model performance and efficiency during analysis and feature selection.
What are the most commonly searched types of Biomedical Data Scientist jobs in Indiana? The most popular types of Biomedical Data Scientist jobs in Indiana are:
What are popular job titles related to Remote Biomedical Data Scientist jobs in Indiana? For Remote Biomedical Data Scientist jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Remote Biomedical Data Scientist jobs in Indiana look for? The top searched job categories for Remote Biomedical Data Scientist jobs in Indiana are:
What cities in Indiana are hiring for Remote Biomedical Data Scientist jobs? Cities in Indiana with the most Remote Biomedical Data Scientist job openings:
Remote Biomedical Data Scientist jobs near you
Data Scientists - Seniors #IN1290

Data Scientists - Seniors #IN1290

Cummins

Columbus, IN • On-site, Remote

$115K - $158K/yr

Full-time

Posted 15 days ago

Cummins rating

8.1

Company rating: 8.1 out of 10

Based on 248 frontline employees who took The Breakroom Quiz

108th of 520 rated manufacturers

Job description

Resolve complex analytical problems using quantitative approaches through a combination of analytical, mathematical and technical skills. Research, design, implement and validate complex algorithms to analyze diverse sources of data to achieve targeted outcomes by leveraging complex statistical and predictive modeling concepts. Leverage advanced analytics and data science to solve complex business problems. Build analytical machine learning solutions that predict and influence customer operating experience. Partner with domain experts to verify model capability's and with IT resources to enable appropriate data flow/data model, development using appropriate tools/technology, rapid prototyping and inform the design of analytical products. Identify relationships with patterns in data by using a suite of data exploration and data visualization techniques using tools such as PowerBI, R Shiny, SAS JMP and extracts insights into multivariate data by applying principles of multivariate data mining, small sample statistical inferential tests, dimension reduction techniques to understand the underlying structure of the data and enable sound conclusions upon model building. Synthesize current business intelligence or trend data to support recommendations for action. Develop applications for a Cloud-based environment and data extraction tools from variety of sources using experience with Big Data technologies including SQL query language, Java, Python and C++. Collect business intelligence data from available industry reports, public information, field reports, or purchased sources. Identify and analyze industry or geographic trends with business strategy implications. Generate standard or custom reports summarizing business, financial, or economic data for review by executives, managers, clients, and other stakeholders. Create business intelligence tools or systems, including design of related databases, spreadsheets, or outputs. Conduct or coordinate tests to ensure that intelligence is consistent with defined needs. Analyze complex automotive and commercial vehicle business systems, industry requirements and data regulations. Process and manage large data sets for vehicle and engine systems. Perform comprehensive Requirements Analysis to evaluate relationships and interdependencies between requirements based upon their complexity and value to the business in order to determine feasibility and prioritization. Utilize Agile software development methodologies to manage projects such as software development and advanced analytics product development to increase productivity and deliver products that meet value to customers.

Cummins is an equal opportunity employer. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, sex, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity, or other status protected by law.

Start Date of Posting: 6/11/26
End Date of Posting: 6/26/26

Position: Remote

Location: Columbus and various unanticipated locations throughout the US

*Annual USD Salary Minimum - Maximum$115,419 - 158,400

Positions require aMaster's degree in Computer or Data Science,or related field and 3 years of experience as a Data Analyst or Scientist, or related position. Alternatively, the employer will accept a Bachelor's degree in Computer or Data Science,or related field and 5years of experience as a Data Analyst or Scientist, or related position. Experience to include: Statistical and predictive modeling concepts; Building analytical machine learning solutions; Data visualization techniques using tools such as PowerBI, R Shiny, SAS JMP; Multivariate data mining; Develop applications for a Cloud-based environment; Big Data technologies including SQL query language, Java, Python and C++; Analyze complex business systems, industry requirements and data regulations; Requirements Analysis; Agile software development methodologies.

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About Cummins

Sourced by ZipRecruiter

Cummins Inc., headquartered in Columbus, IN, US, is a global power leader that designs, manufactures, and distributes numerous power products and systems. With its genesis from as early as 1919, the company readily serves diverse industries such as transportation, industrial, generator drive, or marine applications, among others. At the heart of Cummins' operations, its key product lineup encompasses diesel & natural gas engines, generator sets, engine components, and filtration, emission solutions, and electrical power generation systems. Cummins deeply embodies core values of integrity, respect for diversity, teamwork, performance excellence, and social responsibility - all of which dynamically fuel their mission 'Making people's lives better by powering a more prosperous world'.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Columbus, IN, US

Year founded

1919

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