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Flex Biotech Data Science Jobs in Michigan (NOW HIRING)

Pwc

Payer Healthcare Data Scientist, Manager

Detroit, MI · On-site

$99K - $232K/yr

... Science, Applied Mathematics, Biotechnology preferred - Prior consulting or advisory firm ... data integration Travel Requirements Up to 80% Job Posting End Date The salary range for this ...

Vivo HealthStaff

Bioinformatics Scientist

Ann Arbor, MI · On-site

$170K - $190K/yr

... data. Every team member plays a crucial role in driving the future of biotech research, building ... PhD in Bioinformatics, Computer Science, Statistics, Biology, Biochemistry, Physics, or a closely ...

Vivo HealthStaff

Bioinformatics Scientist

Ann Arbor, MI

$170K - $190K/yr

... data. Every team member plays a crucial role in driving the future of biotech research, building ... PhD in Bioinformatics, Computer Science, Statistics, Biology, Biochemistry, Physics, or a closely ...

Vivo HealthStaff

Bioinformatics Scientist

Ann Arbor, MI · On-site

$170K - $190K/yr

... data. Every team member plays a crucial role in driving the future of biotech research, building ... PhD in Bioinformatics, Computer Science, Statistics, Biology, Biochemistry, Physics, or a closely ...

General Motors

CAE Modeling Lead

Warren, MI · On-site

By uniting modelling art and science with data-driven innovation, you will collaborate with cross ... flex models. Demonstrate application of 5 why principles leading to process, people and tools ...

General Motors

CAE Modeling Lead

Warren, MI · On-site

By uniting modelling art and science with data-driven innovation, you will collaborate with cross ... flex models. Demonstrate application of 5 why principles leading to process, people and tools ...

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All JobsBiotech Data Science JobsFlex Biotech Data Science JobsFlex Biotech Data Science Jobs in Michigan

Flex Biotech Data Science information

What is a Flex Biotech data scientist?

A Flex Biotech Data Scientist is a professional who applies data science and analytical techniques within the biotechnology sector, often in flexible or cross-functional roles. They analyze large sets of biological and clinical data to support research, development, and innovation in biotech companies. Flex roles may involve working on various projects, collaborating with interdisciplinary teams, and utilizing skills in programming, statistics, and biology. Their work helps drive discoveries, optimize experiments, and improve decision-making processes in the biotech industry.

How do Flex Biotech data science professionals typically collaborate with laboratory and research teams?

Flex Biotech Data Science professionals often work closely with laboratory scientists and research teams to interpret experimental data, refine data collection methods, and translate complex results into actionable insights. This collaboration involves regular meetings to discuss ongoing projects, sharing data findings, and providing statistical expertise to optimize research outcomes. Effective communication and a solid understanding of both computational and biological concepts are essential for bridging the gap between data science and laboratory work.

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

To thrive as a Flex Biotech Data Scientist, you need a strong background in biology, statistics, and data analysis, typically supported by a degree in bioinformatics, computational biology, or a related field. Expertise in programming languages (such as Python or R), experience with bioinformatics tools, and familiarity with platforms like SQL databases and machine learning frameworks are essential. Strong problem-solving skills, collaboration, and the ability to communicate complex findings to non-technical stakeholders make candidates stand out. These skills are crucial for extracting actionable insights from complex biological data, driving innovation, and supporting research and development in biotech environments.

What is the difference between Flex Biotech Data Science vs Flex Biotech Data Analysis?

AspectFlex Biotech Data ScienceFlex Biotech Data Analysis
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; knowledge of programming languages like Python or RBachelor's in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams in biotech or healthcare companies, often involving complex data modelingOperational settings focusing on data reporting, visualization, and supporting decision-making
Employer & Industry UsageUsed in biotech firms, pharmaceutical companies, and research institutionsCommon in biotech companies, healthcare providers, and research organizations

Flex Biotech Data Science roles focus on developing predictive models and advanced analytics, requiring programming skills and a strong statistical background. Flex Biotech Data Analysis positions emphasize interpreting data, creating reports, and supporting business decisions with less emphasis on coding. Both roles are vital in biotech but differ in technical complexity and responsibilities.

What are the most commonly searched types of Biotech Data Science jobs in Michigan?

The most popular types of Biotech Data Science jobs in Michigan are:

What cities in Michigan are hiring for Flex Biotech Data Science jobs?

Cities in Michigan with the most Flex Biotech Data Science job openings:

Flex Biotech Data Science jobs near you

Senior Data Modeler

Blue Cross and Blue Shield of North Carolina

Detroit, MI • On-site

$107K - $172K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 days ago

Blue Cross and Blue Shield of North Carolina rating

7.8

Company rating: 7.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

195th of 310 rated insurance

Job description

Job Description

The Senior Data Modeler designs, implements, and documents more complex data architecture and data modeling solutions, which include the use of relational, dimensional, and NoSQL databases. These solutions support enterprise data management, business intelligence, machine learning, data science, and other business interests.

What You'll Do

  • Data Modeling: Creates fully attributed and documented conceptual, logical and physical models using ER and Dimensional modeling techniques.

  • Requirement Analysis: Analyzes data to verify business requirements and design the data models.

  • Data Architecture: Participates in project specific architectural working groups to provide expertise in modeling. Provides inputs on the data management of data assets in all data stores and governs the storage of data in different layers of the data stores. Provides architectural inputs on the data consumption layers, access and security requirements. Documents data flows from its origination and acquisition points. Oversee and govern the expansion of existing data architecture.

  • Standard Query Language: Generates first cut physical model DDL and SQL for views for implementation by the DBA.

  • Documentation: Creates, validates, and updates the data dictionary by coordinating with data governance team and business users.

  • Standards & Process: Facilitates model review sessions. Creates, follows, and revises the data modeling standards and guidelines for different data stores.

  • Data Modeling on Snowflake platform: Play a key role in designing the Silver and Gold analytical layers in Snowflake to build trusted analytical platform serving various business capabilities for different departments within the payer industry.

  • Leading and mentoring - Provide the expert knowledge to other data modelers, reviews work of other modelers to verify it meets enterprise standards and guidelines. Provides inputs on process improvements and maturing the data modeling practice.

What You Bring

  • Bachelor's degree or advanced degree (where required)

  • 5+ years of experience in related field.

  • In lieu of degree, 7+ years of experience in related field.

Preferred Experience

  • Experience leading other data modelers in a successful full life-cycle enterprise data warehousing effort

  • Healthcare domain experience preferred especially EHR/Clinical domain

  • Exposure working on Snowflake platform.

  • Experience and exposure with HL7 FHIR (Fast Healthcare Interoperability Resources) profiles and resources in order to map enterprise data or source data to appropriate FHIR resources.

  • Working experience on ERStudio or similar data modeling tool

  • Extensive experience of ER and Dimensional modeling concepts

WhatYou'llGet

  • The opportunity to work at thecutting edgeof health care delivery with a teamthat'sdeeply invested in the community

  • Work-life balance, flexibility, and the autonomy to dogreat work

  • Medical, dental, and vision coverage along withnumeroushealth and wellness programs

  • Parental leave and support plus adoption and surrogacyassistance

  • Career development programs and tuition reimbursement for continued education

  • 401k match including an annual company contribution

  • Learn more

WhereYou'llWork

Our Hybrid Flex approach is builton presencewith a purpose - giving you flexibility to work remotely with intentional in-person connection - that supports a workplacethat'sflexible, connected, and future focused.

In a Hybrid-Flex role,you'llwork in the office at least two days a week for collaboration and connection. In a Remote Flex role,you'llwork virtually, with a few in-office visits each year formeaningfulmoments that matter.

Whether your role is Hybrid Flex or Remote Flex depends on the nature of the work and distance from our Durham headquarters. We welcome candidates from outside the local area and in anystateslistedonthis job posting. Onsite expectations will be discussed during the interview process.

Salary Range

At Blue Cross NC, we take great pride in a fair and equitable compensation package that reflects market-price and our starting salaries are typically planned near the middle of the range listed. Compensation decisions are driven by factors including experience and training, specialized skill sets, licensure and certifications and other business and organizational needs.Our base salary is part of a robust Total Rewards package that includes an Annual Incentive Bonus*, 401(k) with employer match, Paid Time Off (PTO), and competitive health benefits and wellness programs.

*Based on annual corporate goal achievement and individual performance.

$107,901.00 - $172,642.00

Skills

Data Analysis, Data Architecture Development, Database Design, Data Designing, Data Dictionary, Data Engineering, Data Governance, Data Governance Framework, Data Mining, Data Model Design, Data Modeling, Data Science, Data Warehousing (DW), Enterprise Data, Requirements Analysis

_____________________________________________________________________
JOB ALERT FRAUD: We have become aware of scams from individuals, organizations, and internet sites claiming to represent Blue Cross and Blue Shield of North Carolina in recruitment activities in return for disclosing financial information. Our hiring process does not include text-based conversations or interviews and never requires payment or fees from job applicants. All our career opportunities are published on https://bcbsnc.wd5.myworkdayjobs.com/en-US/BCBSNC. If you have already provided your personal information that you suspect is fraudulent activity, please report it to your local authorities. Any fraudulent activity should be reported to: HR.Staffing@BCBSNC.com.

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