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Remote Downstream Scientist Jobs (NOW HIRING)

Natera

Machine Learning Scientist, Multimodal AI

$124K - $156K/yr

Experience adapting pre-trained foundation models for downstream biomedical applications PREFERRED ... Remote USA $124,800-$156,000 USD OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA ...

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Remote Downstream Scientist information

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

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 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 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 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.
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Remote Downstream Scientist jobs near you
Infographic showing various Remote Downstream Scientist job openings in the United States as of May 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.
Senior Research Scientist, World Action Modeling

Senior Research Scientist, World Action Modeling

Waymo

Mountain View, CA • On-site, Remote

$213K - $263K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.

This role follows a hybrid work schedule and reports to a Staff Research Scientist / Tech Lead Manager.

You will:

  • Design and implement generative world action modeling solutions to simulate future world states / observations and generate policies for embodied agents (autonomous vehicles).
  • Develop and maintain scalable data pipelines to process data from multiple sources.
  • Design and implement evaluation strategies for world action models.
  • Study and analyze different behaviors of this model, such as scaling efficacy, downstream quality implications, model architecture design ablations, etc.
  • Conducting cutting-edge research and potentially communicating research findings to the wider academic community via technical blog posts, technical reports and/or publications.
  • Collaborate inclusively across Waymo/Alphabet to apply developed techniques to Waymo products.

You have:

  • PhD degree in Computer Science or a similar discipline, or an equivalent amount of deep learning research experience, with 5+ years of experience with Deep Learning and Generative Models.
  • Strong coding skills in Python and strong familiarity with major ML Frameworks (JAX, Tensorflow, Pytorch).
  • Strong familiarity with AI tools in day to day work.
  • Experience in large-scale distributed training and different forms of parallelism.
  • Experience in generative models for domains such as world models, images, videaos, 3D, human animation, traffic, and/or simulation, using techniques such as diffusion and/or autoregressive models.

We prefer:

  • Publications at top-tier conferences like CVPR/ICCV/ECCV/ICLR/ICML/NeurIPS/IROS/CoRL etc.
  • Substantial involvement in and contributions to high impact industry AI projects.
  • First-hand experience in, and direct contributions to training large world models / world-action models.
  • Familiarity with Reinforcement Learning in simulation environments.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
  • Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range
$213,000—$263,000 USD

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