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Remote Downstream Scientist Jobs in Michigan (NOW HIRING)

Stellantis

Sr. Engineer - Model-Based Platform

Auburn Hills, MI · On-site +1

$98K - $135K/yr

It takes everything downstream of authoring -- generation, validation, integration -- onto a shared ... The remote-execution strategy for license-bound and compute-heavy workloads: worker pool design ...

Huntington

Business Systems Analyst - Sr

Detroit, MI · On-site +1

$57K - $113K/yr

Identify impacts to BOL, Bank Admin, back-end services, vendor integrations, and downstream systems ... Bachelor's degree in information systems, Computer Science, Business Administration, or related ...

Huntington

Application Architect (IT)

Detroit, MI · On-site +1

$70K - $140K/yr

The role also ensures strong data governance, system performance, and alignment with downstream ... Bachelor's degree in computer science, Information Technology, Engineering, Business, or a related ...

Truly Free Home

Analytics Manager

Traverse City, MI · On-site +1

$100K - $125K/yr

Remote Role Summary The Analytics Manager is responsible for leading analytics, reporting, and data ... reduce downstream risk. * Partner closely with Marketplace Operations, Seller Success, Finance ...

Huntington

Business Systems Analyst - Sr

Detroit, MI · On-site +1

Identify impacts to BOL, Bank Admin, back-end services, vendor integrations, and downstream systems ... Bachelor's degree in information systems, Computer Science, Business Administration, or related ...

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Remote Downstream Scientist information

What is a remote downstream scientist?

A Remote Downstream Scientist is a professional who specializes in the purification and processing of biological products, such as proteins or vaccines, working primarily from a remote location. Their main responsibilities include developing and optimizing downstream processes, analyzing samples, and ensuring product quality and compliance with regulatory standards. The 'remote' aspect means they use digital tools to collaborate with teams, analyze data, and sometimes operate or monitor equipment virtually. This role is common in biotechnology and pharmaceutical industries where flexibility and advanced technology allow scientists to work efficiently from outside the lab.

What are the key skills and qualifications needed to thrive as a remote downstream scientist?

To thrive as a Remote Downstream Scientist, you need a strong background in bioprocess engineering, protein purification, and analytical techniques, typically supported by a degree in biochemistry, chemical engineering, or a related field. Experience with purification systems (e.g., chromatography, filtration), laboratory automation software, and familiarity with regulatory standards like cGMP are crucial. Excellent problem-solving, communication, and time management skills help in collaborating virtually and troubleshooting complex processes. These skills ensure efficient development and optimization of bioprocesses, maintaining high product quality and regulatory compliance in a remote work setting.

What are some common challenges faced by remote downstream scientists, and how can they be managed effectively?

Remote Downstream Scientists often encounter challenges related to limited in-person access to laboratory equipment and real-time collaboration with colleagues. Effective time management, strong communication skills, and familiarity with digital collaboration tools are essential to overcome these obstacles. Staying organized, setting clear expectations with team members, and leveraging virtual platforms for data sharing and troubleshooting can help ensure productivity and maintain project momentum, even when working remotely.

What is the difference between Remote Downstream Scientist vs Remote Upstream Scientist?

AspectRemote Downstream ScientistRemote Upstream Scientist
Required CredentialsBachelor's or Master's in Chemistry, Biochemistry, or related field; experience in product developmentBachelor's or Master's in Chemical Engineering, Petroleum Engineering, or related; focus on exploration and extraction
Work EnvironmentLaboratories, R&D centers, or remote collaboration on product formulationExploration sites, production facilities, or remote data analysis of extraction processes
Industry UsagePharmaceuticals, cosmetics, consumer goodsOil & gas, petrochemical industries

Remote Downstream Scientists focus on product development, formulation, and testing in industries like pharmaceuticals and cosmetics. In contrast, Remote Upstream Scientists work on exploration, extraction, and production processes in the oil and gas sector. Both roles require strong scientific credentials but differ in industry focus and work environment.

What are popular job titles related to Remote Downstream Scientist jobs in Michigan?

For Remote Downstream Scientist jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Remote Downstream Scientist jobs in Michigan look for?

The top searched job categories for Remote Downstream Scientist jobs in Michigan are:

What cities in Michigan are hiring for Remote Downstream Scientist jobs?

Cities in Michigan with the most Remote Downstream Scientist job openings:

Remote Downstream Scientist jobs near you
Infographic showing various Remote Downstream Scientist job openings in Michigan as of June 2026, with employment types broken down into 79% Full Time, 13% Part Time, 4% Temporary, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Software Engineer II - Business Intelligence

Torc Robotics

Ann Arbor, MI • On-site, Remote

$95K - $130K/yr

Full-time

Posted 17 days ago

Job description

Meet the Team: 

Torc's BI team partners across the business to bring visibility and reporting that help leadership and teams make faster, better-informed decisions. This is an exciting opportunity to help define how data engineering and BI work together at Torc, with real influence over the architecture and tooling. 

What You'll Do: 

  • Design, build, and maintain ETL/ELT pipelines that power our data architecture. 
  • Structure and optimize tables and views to support fast, reliable reporting and dashboard performance. 
  • Build data quality checks, validation, and documentation so stakeholders can trust the numbers behind leadership and board-level reporting. 
  • Partner with BI analysts and business stakeholders to understand how data will be consumed downstream, translating reporting needs into data models and pipelines.
  • Support and help evolve leadership-critical deliverables, including the enterprise SPI dashboard and consolidated TES/WBR metrics reporting. 
  • Help migrate existing AWS/Athena-based data delivery to our Databricks platform. 
  • Define, instrument, and maintain business KPIs from scratch using SQL and Python. 
  • Contribute to hands-on dashboard development as interest and BI tooling needs align.

What You'll Need to Succeed: 

  • Bachelor's degree in Computer Science, Data Engineering, or a related field, with 4+ years of professional experience in data engineering or software engineering (equivalent experience considered).
  • Hands-on data engineering experience - building and maintaining ETL pipelines, data quality checks, and structuring tables vs. views for reporting performance. 
  • Proficiency in Python, PySpark, or similar for pipeline / ETL development, and experience with pandas, numpy, or other data analysis tooling. 
  • Strong SQL or similar skills. 
  • Understanding of how data is consumed downstream and willingness to work with consumers on improvements.  
  • Experience with BI tools such as Tableau, Power BI, or QuickSight. 
  • Comfort working with ambiguous, evolving requirements and partnering directly with stakeholders across the business. 

Bonus Points: 

  • Experience with the Databricks platform, particularly for serving data, visualizations, and jobs.
  • AWS experience, particularly Athena, Glue, or other managed data services. 
  • Knowledge of relational, NoSQL, vector, and data warehouse architectures. 
  • Hands-on dashboard-building experience, or strong interest in developing it. 
  • Experience scaling data for ML/AI workloads (e.g., Ray). 
  • Background in automotive, AV, robotics, or other safety-critical data environments. 

Work Location: 

Ann Arbor, MI is the hiring hub for this role; remote candidates are considered. 

Apply