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Remote Genomics Data Scientist Jobs in Indiana (NOW HIRING)

You will partner with Data Engineering, Data Science, Architecture, Infrastructure, Security, and ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

United States (Remote) Interested applicants must reside in one of the following approved states ... Bachelor's degree required, preferably in Computer Science, Information Systems, or a related ...

United States (Remote) Interested applicants must reside in one of the following approved states ... Bachelor's degree required, preferably in Computer Science, Information Systems, or a related ...

UI/UX SME

Crane, IN ยท On-site +1

$185K/yr

This position can be fully remote , and any required travel would be reimbursed by the government ... Support data science initiatives through visualization, analytics tools, and interface design

... 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 ...

Bachelor's degree (BA/BS) in engineering, construction management, sciences, IT, or related field a ... Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las ...

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Remote Genomics Data Scientist information

What is a remote genomics data scientist?

A Remote Genomics Data Scientist is a professional who analyzes and interprets large-scale genetic data, such as DNA sequencing, using computational and statistical methods, while working from a remote location. Their work often involves using bioinformatics tools and machine learning to identify patterns and insights in genomic datasets. This role supports research in healthcare, pharmaceuticals, and biotechnology, helping to advance personalized medicine and disease understanding. Remote Genomics Data Scientists collaborate with multidisciplinary teams and often communicate findings through reports and visualizations.

How does a remote genomics data scientist typically collaborate with cross-functional research teams?

As a Remote Genomics Data Scientist, collaboration often happens through virtual meetings, shared code repositories, and cloud-based data platforms. You'll regularly interact with bioinformaticians, laboratory scientists, and clinicians to define research questions, interpret genomic data, and ensure data analysis aligns with study goals. Effective communication is key, as you'll translate complex results for non-technical stakeholders and coordinate project timelines across different locations and time zones.

What are the key skills and qualifications needed to thrive as a remote genomics data scientist, and why are they important?

To thrive as a Remote Genomics Data Scientist, you need a strong background in bioinformatics, statistics, and genomics, typically supported by an advanced degree in a relevant field. Proficiency with programming languages such as Python or R, experience with genomic data analysis tools (e.g., GATK, Bioconductor), and cloud-based data platforms are essential. Excellent problem-solving, communication, and collaboration skills help you interpret complex data and work effectively with interdisciplinary teams. These skills ensure accurate analysis, meaningful insights, and successful remote collaboration on cutting-edge genomics projects.

What is the difference between Remote Genomics Data Scientist vs Remote Bioinformatics Analyst?

AspectRemote Genomics Data ScientistRemote Bioinformatics Analyst
Required CredentialsMaster's or PhD in Genetics, Bioinformatics, or related field; experience with genomics data analysisBachelor's or Master's in Bioinformatics, Biology, or related; familiarity with bioinformatics tools
Work EnvironmentResearch labs, biotech companies, or healthcare organizations focusing on genomicsResearch institutions, healthcare, or biotech firms analyzing biological data
Industry UsagePrimarily in genomics research, personalized medicine, and biotechIn bioinformatics projects across healthcare, agriculture, and research

Remote Genomics Data Scientists focus on analyzing genomic data to uncover biological insights, often requiring advanced degrees and specialized skills. Remote Bioinformatics Analysts handle biological data analysis but may have a broader scope, including various biological datasets. Both roles are vital in biotech and healthcare industries, but the Genomics Data Scientist typically emphasizes genomic-specific expertise.

What job categories do people searching Remote Genomics Data Scientist jobs in Indiana look for?

The top searched job categories for Remote Genomics Data Scientist jobs in Indiana are:

What cities in Indiana are hiring for Remote Genomics Data Scientist jobs?

Cities in Indiana with the most Remote Genomics Data Scientist job openings:

GIS Coordinator Remote (Ohio and Indiana only)

Conflux Systems

Indianapolis, IN โ€ข On-site, Remote

$37/hr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Title: GIS Coordinator
Location: Indianapolis, IN
Pay Rate: $37/H W2 (No Benefits)
Interview Type: Webcam and Inperson
Work mode: Remote
Client: IDOH

Skills
Knowledge of geospatial concepts
Knowledge of appropriate cartographic designs and solutions
Work in ESRI ArcGIS Desktop software
Work in ESRI ArcGIS Software as a Service platform and configurable applications
Work with Python, ArcGIS API for Python, ArcPy, and other data science packages including web automation and scraping capabilities
Work with JavaScript and ArcGIS JavaScript API
Knowledge of SQL within Oracle and SQL Server platforms
Managerial/supervisory experience within a health-related field, data/technology-related field, or in another comparable field
Ability to engage with stakeholders and partners at the GIO, other agencies, state/local health departments, private sector, etc.
Project management skills (communication, organization, metric tracking)
Experience with data governance best practices (GIS-specific data governance)
Experience with GeoAI
Note: Resource will be required to attend local events as well as national conference in San Diego. Expenses/travel will be reimbursable.