Technical Leader of Scientific AI Research Job at Kitware (Clifton Park)

New

Technical Leader of Scientific AI Research

Location

United States , Clifton Park

Salary:

Not provided

Kitware

Expiration Date

Until further notice

Requirements

Due to contractual restrictions, only US Citizens will be considered for this position.
I am willing and able to apply for, use, and maintain a security clearance.
Willing to work on-site at Kitware’s Clifton Park, NY, headquarters (at least 3 days/week in office).

Fulltime

Senior Director, R&D Bangalore

The Sr Director, R&D Bangalore is responsible for leading a large R&D team compr...

Location

India , Bangalore

Salary:

Not provided

Danaher Corporation

Expiration Date

Until further notice

Requirements

18–20 years of R&D experience
10+ years in leadership roles, preferably within bioprocessing or life sciences
advanced degree in engineering or related scientific discipline preferred
proven ability to lead global, cross-cultural teams in product development and research
demonstrated success in systems engineering and scientific innovation, driving new product development, lifecycle management, and strategic programs
expertise in structured development processes, including toll-gate reviews, stakeholder alignment, and integration of engineering and scientific principles across business functions
strong capability to anticipate trends, navigate ambiguity, and build technology strategies that leverage AI, software-driven solutions, and advanced analytics for bioprocessing applications
deep understanding of customer needs and scientific challenges, with a track record of translating insights into impactful solutions and building enduring global stakeholder relationships

Job Responsibility

Lead a multidisciplinary R&D organization driving scientific innovation and systems engineering excellence for Bioprocessing applications
Partner with global Cytiva Business Units and senior technical leadership to deliver research, product development, and life cycle programs
Define and implement robust systems engineering practices across complex instrument platforms
Drive architecture decisions, risk management, and system-level verification and validation
Champion scientific rigor in bioprocessing solutions, leveraging emerging technologies in AI, machine learning, advanced sensors, and computational modeling
Collaborate closely with software development teams to embed intelligent algorithms, predictive analytics, and automation into instrument platforms
Identify breakthrough opportunities with Cytiva business units and establish technology strategies for next-generation platforms
Lead a team of scientists, systems engineers, and technical leaders, ensuring high engagement and performance
Attract, develop, and retain top scientific and technical talent
Lead and execute charters for cross Danaher India R&D Board in line with strategic priorities

What we offer

Broad array of comprehensive, competitive benefit programs that add value to our lives
health care program
paid time off

ML Tech Lead Manager

Abridge is building an AI platform for clinical conversations to solve the admin...

Location

United States , San Francisco

Salary:

246500.00 - 290000.00 USD / Year

Abridge

Expiration Date

Until further notice

Requirements

7+ years of experience in machine learning/NLP, with a strong track record of impactful publications and deployed systems
3+ years of experience as technical lead for a project of 4 or more individuals
2+ years of direct management experience, managing Researchers and Applied Scientists
Deeply technical, with expertise across NLP and LLMs—e.g., pre-training/post-training/SFT/RL, retrieval augmented generation (RAG), reasoning capabilities, multilinguality, multimodality, synthetic data generation, noise robustness, judges, and evaluation
Comfortable bridging research, product, and engineering, translating novel ideas into robust, scalable systems that deliver real-world impact
Have fluency with libraries for scientific computing (e.g. SciPy, Numpy) and machine learning (e.g., PyTorch, TensorFlow, Scikit-learn, Pandas)
A thoughtful leader: you foster a feedback-rich culture, set a high bar for scientific rigor, and empower your team through mentorship, clear vision, and mutual trust
Up-to-date on the latest in NLP and ML research, with excitement for continuous learning
Motivated to work in a fast-paced, collaborative environment where your team’s science has direct clinical impact
Must be willing to work from our SF office at least 3x per week

Job Responsibility

Lead, mentor, and scale a high-impact team of NLP/ML researchers, fostering a culture of technical rigor, creativity, and scientific excellence
Set R&D strategy that aligns with company priorities
Grow talent pipelines by recruiting world-class researchers and nurturing career development through coaching and mentorship
Balance long-term vision with near-term impact, ensuring research not only advances the field but also translates into product-grade systems
Partner with engineering teams and clinicians to operationalize novel algorithms into clinician-facing workflows, optimizing both quality and efficiency
Ensure safety and robustness in deployment, shaping the standards for evaluation in clinical AI
Represent Abridge in the global ML/NLP research community through publications, conference presentations, and industry/academic partnerships

What we offer

Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees
Comprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families
Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA
Paid Parental Leave: Generous paid parental leave for all full-time employees
Family Forming Benefits: Resources and financial support to help you build your family
401(k) Matching: Contribution matching to help invest in your future
Personal Device Allowance: Tax free funds for personal device usage
Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits
Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more
Mental Health Support: Dedicated access to therapy and coaching to help you reach your goals

Fulltime

Scientific Medical Writer

We are seeking a Scientific Writer to serve as a critical bridge between our Res...

Location

Denmark , Københavns Kommune

Salary:

Not provided

Life Science Talent

Expiration Date

Until further notice

Requirements

PhD in life sciences, biomedical sciences, pharmacology, immunology, hematology, or related field
Demonstrated experience in scientific writing, including peer-reviewed publications as first author or significant contributor
Strong understanding of clinical drug development processes and regulatory requirements
Excellent written and verbal communication skills with the ability to translate complex scientific concepts for diverse audiences
Meticulous attention to detail and commitment to scientific accuracy
Strong organizational skills and ability to manage multiple projects simultaneously
Proven ability to work collaboratively in a fast-paced, team-oriented environment

Job Responsibility

Lead the preparation of scientific manuscripts for peer-reviewed publications, demonstrating our research and preclinical findings
Lead the preparation of patent filings
Develop and write regulatory documentation including: Technical reports, Investigator's Brochures and briefing documents
Investigational New Drug (IND) applications and Clinical Trial Applications (CTAs)
Regulatory responses and agency communications
Create high-quality abstracts, posters, and presentations for scientific conferences
Collaborate with Medical Affairs to develop scientifically accurate medical communications materials
Prepare scientific brochures, data summaries, and disease-state educational content
Support the creation of materials for advisory boards and key opinion leader (KOL) engagements
Contribute to medical information responses and scientific exchange materials

What we offer

Opportunity to make a meaningful impact on patients living with rare bleeding disorders who have few or no treatment options
Collaborative, mission-driven culture with a commitment to scientific excellence
Work at the forefront of innovation in bleeding disorder therapeutics
Professional development opportunities and growth within a rapidly expanding organization

Fulltime

New

Principal Data Scientist

The Bing organization is looking for a Principal Data and Applied Scientist for ...

Location

United States , Redmond

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience
OR equivalent experience
Experience with SQL-like query languages
Hands on experience in design & problem-solving skills with one or more programming languages, such as Python, Java, C# or C++
Ability to work independently, influence others, and solid communication and collaboration skills
Familiarity with search engines, dealing with online instrumentation
Experience with large datasets and interest in consumer online search behaviors
Experience with building machine learning models on large scale data

Job Responsibility

Drive innovation in large-scale online A/B experimentation for AI-powered web search, designing, building, and monitoring success metrics that directly measure user satisfaction, trust, and long-term retention across Bing experiences
Serve as a technical visionary and thought leader in online experimentation, shaping the future of product learning through research-driven, AI-enabled approaches that support trustworthy, agile, and evidence-based decision-making at global scale
Provide senior technical leadership and deep industry perspective, guiding cross-functional partners in the adoption of advanced experimentation platforms, causal inference techniques, and modern data science methodologies to deliver high-impact, scientifically rigorous experimentation programs
Build and scale advanced experimentation expertise across teams, spanning specialized tools, statistical methods, and ML-driven evaluation frameworks, to drive measurable business outcomes and extend the reach and impact of Search’s end-to-end experimentation ecosystem

Fulltime

Staff Machine Learning Scientist

Intercom’s Machine Learning team is responsible for defining new ML features, re...

Location

United Kingdom , London

Salary:

Not provided

Intercom

Expiration Date

Until further notice

Requirements

5-8 years applied ML experience
Previous background in a senior/staff role (data science, software development or academic)
Significant, demonstrated impact that your work has had on the product and/or the teams
Strong programming skills
Experience as the primary technical leader for a team
Strong communication skills, both within engineering teams and across disciplines
Comfort with ambiguity
Typically have advanced education in ML or related field (e.g. MSc)
Scientific thinking skills

Job Responsibility

Play an active role in hiring, mentoring and career development of other engineers
Raise the bar for technical standards, performance, reliability, and operational excellence
Identify areas where ML can create value for our customers
Identify the right ML framing of product problems - Working with teammates and Product and Design stakeholders
Conduct exploratory data analysis and research - Deeply understand the problem area
Research and identify the right algorithms and tools - Being pragmatic, but innovating right to the cutting-edge when needed
Perform offline evaluation to gather evidence an algorithm will work
Work with engineers to bring prototypes to production
Plan, measure & socialize learnings to inform iteration
Partner deeply with the rest of team, and others, to build excellent ML products

What we offer

Competitive salary and equity in a fast-growing start-up
We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
Regular compensation reviews - we reward great work!
Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
Open vacation policy and flexible holidays so you can take time off when you need it
Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too
MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done

Fulltime

Staff Machine Learning Scientist

Intercom’s Machine Learning team is responsible for defining new ML features, re...

Location

Ireland , Dublin

Salary:

Not provided

Intercom

Expiration Date

Until further notice

Requirements

5-8 years applied ML experience
Previous background in a senior/staff role (data science, software development or academic)
Significant, demonstrated impact that your work has had on the product and/or the teams
Strong programming skills
Experience as the primary technical leader for a team
Strong communication skills, both within engineering teams and across disciplines
Comfort with ambiguity
Typically have advanced education in ML or related field (e.g. MSc)
Scientific thinking skills

Job Responsibility

Play an active role in hiring, mentoring and career development of other engineers
Raise the bar for technical standards, performance, reliability, and operational excellence
Identify areas where ML can create value for our customers
Identify the right ML framing of product problems - Working with teammates and Product and Design stakeholders
Conduct exploratory data analysis and research - Deeply understand the problem area
Research and identify the right algorithms and tools - Being pragmatic, but innovating right to the cutting-edge when needed
Perform offline evaluation to gather evidence an algorithm will work
Work with engineers to bring prototypes to production
Plan, measure & socialize learnings to inform iteration
Partner deeply with the rest of team, and others, to build excellent ML products

What we offer

Competitive salary and equity in a fast-growing start-up
We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
Regular compensation reviews - we reward great work!
Pension scheme & match up to 4%
Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
Flexible paid time off policy
Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too
MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done
Relocation support for those moving to our offices

Fulltime

New

Vice President, Data Science

The Vice President, Data Science is responsible for setting the vision and leadi...

Location

United States

Salary:

Not provided

Duetto

Expiration Date

Until further notice

Requirements

12+ years of professional experience
5+ years of data science and product leadership
Experience operating production-grade data science organizations
Track record of delivering business outcomes from innovative, data science-driven product development
Proven expertise in managing the 'model lifecycle' within high-scale SaaS environments
Deep technical judgment in causal methods, forecasting, pricing optimization, and experimentation in real-world commercial settings
Experience building or partnering on ML Platforms (MLOps) including monitoring, deployment modes, and CI/CD for ML
Exceptional leadership skills with a track record of hiring, developing, and high-grading technical talent across multiple sub-functions

Job Responsibility

Builds the intelligence engine (algorithms, models, and insights) that powers Duetto’s industry-leading RP-OS and creates significant value for customers
Leads the vision for the long-term opportunities to leverage data, ML, and AI to create value
Sets a multi-year data science strategy that balances high-uncertainty research with the pragmatic delivery of the RP-OS roadmap
Visions the evolution toward agentic workflows, providing the technical blueprint for moving from fragmented, manual decisions to unified, intelligent automation
Leads and continually raises the bar for a high-performing organization across Data Science Product Management, Analytics, ML Platform, and R&D to drive professional excellence
Builds the business case and allocates resources and departmental budget effectively, making strategic tradeoffs between model performance, system latency, and operational costs
Influences peers in Engineering and Product to ensure data science capabilities are integrated into intuitive UX and scalable platform patterns
Capitalizes on scientific research—including causal methods and optimization—to improve forecasting accuracy and pricing integrity
Presides over a rigorous research culture that prioritizes reproducibility, global scale evaluation, and 'decision-grade' product analytics
Secures the platform’s reputation by establishing 'Responsible AI' guardrails, ensuring all models meet high standards for auditability, transparency, and data governance

Technical Leader of Scientific AI Research

Kitware

Location:
United States , Clifton Park

Category:
Research and Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 18, 2026

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