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Remote Downstream Process Development Scientist Jobs in Michigan

L3HHCM20

Principal, Business Development

Lansing, MI · On-site +1

Remote Job Schedule: 9/80 As a Business Development Principal, you will have the exciting ... Constantly looking to improve existing processes or establish new systems using significant ...

GardaWorld

Business Development Manager

Detroit, MI · Remote

$75K/yr

... remote video security monitoring solutions. * Lead a disciplined, consultative sales process that includes discovery, stakeholder alignment, solution design, and the development of persuasive ...

GardaWorld

Business Development Manager

Detroit, MI · Remote

$75K/yr

... remote video security monitoring solutions. * Lead a disciplined, consultative sales process that includes discovery, stakeholder alignment, solution design, and the development of persuasive ...

GardaWorld

Business Development Manager

Detroit, MI · Remote

$75K/yr

... remote video security monitoring solutions. * Lead a disciplined, consultative sales process that includes discovery, stakeholder alignment, solution design, and the development of persuasive ...

GardaWorld

Business Development Manager

Detroit, MI · Remote

$75K/yr

... live/remote video security monitoring solutions. Lead a disciplined, consultative sales process that includes discovery, stakeholder alignment, solution design, and the development of persuasive ...

GardaWorld

Business Development Manager

Detroit, MI · Remote

$75K/yr

... live/remote video security monitoring solutions. Lead a disciplined, consultative sales process that includes discovery, stakeholder alignment, solution design, and the development of persuasive ...

Huntington

Business Systems Analyst - Sr

Detroit, MI · On-site +1

$57K - $113K/yr

... integrations, and downstream systems. * Analyze existing business processes and recommend ... Support architecture and development teams during design and implementation. * Ensure solutions ...

Huntington

Business Systems Analyst - Sr

Detroit, MI · On-site +1

... integrations, and downstream systems. * Analyze existing business processes and recommend ... Support architecture and development teams during design and implementation. * Ensure solutions ...

altg

Business Development Representative

Livonia, MI · Remote

This role is generally remote, with occasional travel for meetings, training, customer visits ... Ability to apply common sense, follow instructions, and work through customer or process questions ...

altg

Business Development Representative

Livonia, MI · Remote

This role is generally remote, with occasional travel for meetings, training, customer visits ... Ability to apply common sense, follow instructions, and work through customer or process questions ...

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Remote Downstream Process Development Scientist information

What is a remote downstream process development scientist?

A Remote Downstream Process Development Scientist is a professional who designs, optimizes, and scales processes for purifying and isolating biological products, such as proteins or antibodies, often in the biotechnology or pharmaceutical industries. They work remotely, leveraging digital tools to collaborate with teams, analyze data, and guide laboratory operations. Their responsibilities include developing protocols, troubleshooting purification steps, and ensuring that processes meet quality and regulatory standards. This role is critical for transforming lab-scale discoveries into commercially viable products.

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

To thrive as a Remote Downstream Process Development Scientist, you need a strong background in biochemistry, chemical engineering, or a related field, often supported by an advanced degree and experience in bioprocessing. Familiarity with chromatography systems, filtration technologies, and data analysis software, as well as knowledge of regulatory standards like GMP, is typically required. Exceptional problem-solving, project management, and cross-functional communication skills are crucial for remote collaboration and effective process optimization. These competencies ensure the efficient development, scale-up, and transfer of purification processes critical to biopharmaceutical manufacturing success.

How does a remote downstream process development scientist typically collaborate with onsite laboratory teams?

As a Remote Downstream Process Development Scientist, collaboration with onsite laboratory teams is essential to ensure the smooth transfer of process knowledge, data interpretation, and troubleshooting. Communication is often facilitated through regular video meetings, shared digital lab notebooks, and project management tools. While you may not be physically present for hands-on experiments, you play a crucial role in designing studies, analyzing results, and providing guidance on process optimization. Building strong virtual relationships and maintaining clear, timely communication are key to overcoming challenges related to distance and ensuring project success.

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

AspectRemote Downstream Process Development ScientistRemote Upstream Process Development Scientist
Required CredentialsBachelor's or Master's in Biochemistry, Chemical Engineering, or related field; experience in chromatography and purification techniquesBachelor's or Master's in Biochemistry, Chemical Engineering, or related field; experience in cell culture and bioreactor operations
Work EnvironmentLaboratory and pilot plant settings, often collaborative teamsLaboratory and bioreactor environments, often collaborative teams
Industry UsagePharmaceutical and biotech companies focusing on drug purificationPharmaceutical and biotech companies focusing on bioprocessing

The main difference between a Remote Downstream Process Development Scientist and a Remote Upstream Process Development Scientist lies in their focus areas. Downstream scientists specialize in purification and separation techniques, while upstream scientists focus on cell culture and bioreactor processes. Both roles require similar educational backgrounds and are vital in biopharmaceutical development, but they target different stages of the production process.

How much does a remote downstream process development scientist make?

A remote downstream process development scientist typically earns between $80,000 and $130,000 annually, depending on experience, education, and the specific employer. Salaries in California tend to be higher due to the cost of living and demand for biotech and pharmaceutical expertise. Compensation may also include benefits such as bonuses, stock options, and flexible work arrangements.

What are the most commonly searched types of Downstream Process Development Scientist jobs in Michigan?

The most popular types of Downstream Process Development Scientist jobs in Michigan are:

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

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

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

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

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

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

Remote Downstream Process Development Scientist jobs near you
Infographic showing various Remote Downstream Process Development Scientist job openings in Michigan as of June 2026, with employment types broken down into 72% Full Time, 18% Part Time, and 10% Contract. Highlights an 100% Remote job distribution.

Senior, ML Engineer - 3D Reconstruction

Torc Robotics

Ann Arbor, MI • On-site, Remote

$102K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago

Job description

About the Company
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Meet The Team:
The Pseudo-Labeling team's goal is to create high-quality annotations on sensor data (images, point clouds). The annotations include 2D, 3D bounding boxes, classes, trajectories, lane lines, segmentations, depths, and high-definition map elements. The annotations are then used by different downstream users - for example, perception teams use them to train various models, mapping teams use them to build and maintain HD maps, and simulation teams use them for generating new data. This role owns the hardest problems in the team's lane line and mapping stack and is expected to set technical direction across lane line reconstruction, map creation, and pose accuracy.
What You'll Do:
  • Own the design, implementation, and deployment of offline 3D reconstruction, lane line detection, and automatic mapping/map creation systems that generate high-quality annotations on Cloud Services from logged sensor data (Cameras, Lidars, Radars, GPS/IMU).
  • Lead lane line network reconstruction efforts, rebuilding topologically correct lane line graphs from noisy, partial, or conflicting detections across drives.
  • Design, train, and iterate on lane line detection and creation models, pushing state-of-the-art performance and driving model architecture and training strategy decisions for the team.
  • Develop methods for creating lane line maps in previously unmapped areas, and for detecting and propagating map updates as road geometry changes over time.
  • Own pose correction for sensor data, and lead the diagnosis and mitigation of calibration and sensor errors (extrinsic/intrinsic miscalibration, drift, noise) that degrade reconstruction and mapping quality.
  • Set technical direction and best practices for the team's lane line, mapping, and pose estimation pipelines, and lead architecture decisions with cross-team impact.
  • Serve as technical lead on high-complexity projects, guiding and mentoring other engineers across multiple facets of project execution.
  • Stay ahead of the latest developments in AI and ML for autonomous driving, 3D reconstruction, and automated mapping, and bring emerging techniques into production.
  • Independently develop offline perception and mapping models or algorithms using disciplined software development processes, making recommendations for developing new code or re-using existing code, implementing version control, and maintaining documentation of created applications.
  • Define and implement ingestion, data preparation, curation, and governance of large, multi-faceted data sets supporting analytics models and workflows.
  • Proactively assess current capabilities to identify areas for improvement, proposing solutions that align with core strategy and operation.
  • Measure and track auto-labeling and map creation quality to meet internal customer requirements, including quantifying the impact of pose and calibration error on downstream quality.
  • Guide and produce information products, supporting visualization and data accessibility in a customer-centric manner.
  • Evaluate and make recommendations regarding technical advances that improve productivity and quality, reduce flow times, and enhance operational surety.
  • Develop guidelines and standards for analytics and machine learning models, their deployment, and associated processes.
  • Provide technical guidance, technical leadership, coaching and mentoring to team members.

What You'll Need to Succeed:
  • Considered an expert and highly skilled in discipline; conducts highly complex, important work independently with minimal to no supervision and broad latitude for independent judgment.
  • Scope of Influence: Expected to drive alignment across team and organizational boundaries. Sets technical direction, owns team technical solutions end-to-end, and is looked to as the authority for lane line, mapping, and pose estimation problems.
  • Mentors and guides engineers within and beyond the group.
  • Bachelor's Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrated competencies and technical proficiencies typically acquired through 6+ years of experience OR; Master's Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrated competencies and technical proficiencies typically acquired through 3+ years of experience OR; PhD in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrated competencies and technical proficiencies typically acquired through 1+ years of experience.
  • Required Qualifications (some combination of the following skills):
    • Strong, demonstrated background in lane line detection and creation, including hands-on experience with lane line network reconstruction and training lane line creation models.
    • Proven experience creating lane line maps for previously unmapped areas, and handling ongoing map updates as road conditions and geometry change.
    • Strong background in pose correction, with direct experience diagnosing and correcting calibration and sensor errors across camera, lidar, radar, and GPS/IMU systems.
    • Active Learning & Pseudo-labeling - Computer Vision, Deep Learning, Model training at an advanced level.
    • Two or more of the following at depth: 2D/3D Object Detection, Tracking, Sensor Fusion, Semantic Segmentation, SLAM, BEV.
    • Scaled ML Operations (MLOps) and Tooling - ML Frameworks, experiment tracking, model registry, MLflow, Weights and Biases, ML Metrics and Evaluation / Quality.
    • Distributed machine learning frameworks - PyTorch, Lightning, Ray.
    • Model Data Curation - Parquet data processing (PyArrow, Daft, Pandas, etc).
    • Development Tools & Eco-System (at scale) - Advanced proficiency in Python software development. Also, VDI and cloud-based development environments, CI Systems (GitHub Actions), and Docker.

Bonus Points!
  • PPK/RTK (Post-Processed Kinematic / Real-Time Kinematic) GPS experience.
  • GIS (Geographic Information Systems) experience.

Perks of Being a Full-time Torc'r
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
  • A competitive compensation package that includes a bonus component and stock options
  • 100% paid medical, dental, and vision premiums for full-time employees
  • 401K plan with a 6% employer match
  • Flexibility in schedule and generous paid vacation (available immediately after start date)
  • AD+D and Life Insurance

At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.
Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Hiring Range for Job Opening
US Pay Range
$199,200 - $298,800
Job ID: 102399

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