Senior/Chief Scientist

Hollingsworth LLC
Floyd, VA, United States
about 2 months ago
Apply on www.indeed.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Compensation
$120,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Data Analysis Python (Programming Language)

Job description

Hollingsworth & Vose is creating a dedicated scientific role for a pioneer researcher: someone who works best at the frontier of a field, defines their own questions, and is energized by the absence of a roadmap. Your mandate is to identify, investigate, and de-risk platform-level opportunities in porous media - materials and mechanisms that could define entirely new product categories for H&V. You will report directly to senior R&D leadership, operating with genuine scientific autonomy. Title depends on experience and track record in the industry., * Scan the porous media landscape - nonwovens, polymer membranes, MOFs, zeolites, aerogels, other fibrous structures - for convergence zones and white-space opportunities invisible from within a single material class.

  • Formulate original research hypotheses, design experiments to de-risk them, and execute at TRL 1-3 with full scientific independence.
  • Build and maintain an active presence in the external scientific community: publish, present, collaborate with academic partners, and serve as H&V’s scientific antenna in your domain.
  • Apply computational and AI-assisted tools - high-throughput experimentation, design of experiments, Bayesian optimization - to accelerate discovery cycles.
  • Communicate findings clearly to senior R&D and executive leadership: what you found, what it means, and - just as importantly - what you killed and why.
  • Identify opportunities to connect emerging platform concepts to H&V’s existing technical and manufacturing capabilities where genuine synergy exists.
  • Lead or aid in the commercialization of platform concepts

Requirements

  • PhD in STEM category - Chemical, Mechanical, Material sciences, and other porous media related disciplines or BS/MS degrees with equivalent work experience
  • A track record of originating research and successful commercialization,
  • First-author publications in peer-reviewed journals and/or Named inventorship (not just assignee)
  • 10+ years of product development experience, * Cross-domain literacy across the porous media landscape. Deep expertise in one material class is expected;
  • Computational and AI fluency: proficiency in design of experiments and Bayesian optimization (required); Python or equivalent scripting for data analysis (strongly preferred); familiarity with high-throughput experimentation platforms or closed-loop optimization systems (a real differentiator).
  • An active, generative external scientific network - not passive literature consumption. Conference participation, invited presentations, peer-review activity, or academic collaborations.
  • The intellectual disposition to propose ideas that contradict current product logic and defend them with data.
  • Previous technology scouting experience

Benefits & conditions

Pulled from the full job description

  • Health insurance
  • Retirement plan
  • Vision insurance
  • Dental insurance
  • Flexible spending account
  • Life insurance
  • Disability insurance

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.indeed.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella · World Congress 2023

3:46 min

Core terminology and audiences for interpretable artificial intelligence

Karol Przystalski · LIVE

1:17 min

Fabricated software updates for Python alongside lunar quarantine proposals

Chris Heilmann +1 · LIVE

1:17 min

Transitioning from academic physics to data science leadership

Katja Träumner

1:36 min

Performing exploratory data analysis to uncover underlying patterns

Julian Joseph · LIVE

1:50 min

Actionable career advancement strategies for distinct engineering seniorities

Gunnar Grosch · Coffee With Developers

Videos

See all

Related articles

See all