Scientist – Human Safety Job at Unilever (Sharnbrook)

Scientist - Human Safety

At Unilever, we are committed to developing safe and sustainable products for ou...

Location

United Kingdom , Sharnbrook

Salary:

Not provided

Unilever

Expiration Date

Until further notice

Requirements

A degree (BSc, MSc, or equivalent) in Toxicology or a related scientific discipline relevant to assessing the safety of human chemical exposure
Experience of toxicology/consumer safety risk assessment and its application in an industrial context (FMCG, healthcare setting)
Awareness of novel, non-animal approaches to safety assessment and their potential application for decision-making
Excellent written & verbal communication skills including ability to convey scientific subject matter in a simple manner
Evidence of a creative, problem-solving mindset
A high level of self-motivation, with a proven track record of collaborating effectively in interdisciplinary teams
Ability to work with scientists from other disciplines as part of multidisciplinary teams
Strong team-working skills, with the ability to contribute effectively both as a leader and as a team member

Job Responsibility

Assess human safety risks associated with ingredients with an emphasis on applying novel (non-animal) approaches
Deliver transparent, well documented, exposure-based risk assessments to enable robust decision-making
Contribute to the evolution of our approach to exposure-driven risk assessment including working with external groups
Build an understanding of the wider issues surrounding the use of ingredients and products
Be part of a team making an impact internally & externally on the way in which safety risk assessments are conducted and communicated
Work closely with other SERS and Unilever scientists, as well as external collaborators, to provide expert scientific advice on new scientific approaches to non-animal safety assessment
Promote the acceptance and adoption of new scientific approaches external to Unilever through interactions with key opinion formers

What we offer

competitive salary and pension scheme
annual bonus
subsidised gym membership
discounted staff shop
shares
flexible and hybrid working environment
variety of wellbeing support including hubs, programmes and development opportunities

Fulltime

Safety Scientist - Immunology

As a safety scientist (Immunology) at Unilever, you will be involved in conducti...

Location

United Kingdom , Sharnbrook

Salary:

Not provided

Unilever

Expiration Date

Until further notice

Requirements

A master’s or PhD degree in immunology, immunotoxicology, or a related scientific discipline, or equivalent previous experience working in industry
Knowledge of immunological mechanisms involved in, and the public health implications of, immediate allergies
Strong literature mining and writing skills
Strong problem definition and trouble shooting skills
Enjoy challenging goals and problem solving in a fast-moving environment, keeping pace with advances in non-animal approaches to immunotoxicology
Highly self-motivated, yet team orientated
Ability to work with scientists from other disciplines to understand and define problems
Strong communication skills, with the ability to effectively communicate complex ideas to technical and non-technical audiences

Job Responsibility

Assessment of human safety risks associated with ingredients across Unilever’s product portfolio with an emphasis on applying mechanistic or pathways-based approaches to potential immune effects
Delivering transparent, well-documented exposure-based risk assessments, including protein allergy risk assessments, to SERS project teams to enable robust decision-making
Define appropriate approaches and methodologies for generation, analysis, and interpretation of immunological data to support non-animal safety assessment
Work closely with other SERS and Unilever scientists, as well as external collaborators, to provide expert scientific advice on risk assessment of potential immune effects
Stay informed on emerging trends bringing new thinking and opportunities into the team applicable to immune effects risk assessment
Contribute to the development and application of AI/machine learning (ML) solutions that enable predictive insights and automation of risk assessment of potential immune effects
Provide training to both expert and non-expert users within the organisation, and support development of other SERS scientists via coaching/mentoring as appropriate
Promote the acceptance and adoption of new scientific approaches external to Unilever

What we offer

Competitive salary and pension scheme
Annual bonus
Subsidised gym membership
Discounted staff shop
Shares
Flexible and hybrid working environment
Wellbeing support including hubs, programmes and development opportunities

Fulltime

Lead Data Scientist - Agentic AI - Patient Safety

We’re building a world of health around every individual — shaping a more connec...

Location

United States

Salary:

130295.00 - 284280.00 USD / Year

CVS Health

Expiration Date

March 15, 2026

Requirements

5+ years of experience in advanced analytics, applied AI/ML, or decision science, with significant work in healthcare, pharmacy, or patient safety
3+ years of hands‑on experience building and deploying solutions with LLMs, generative AI, or conversational AI frameworks (e.g., LangChain, AutoGen, CrewAI, RAG), including prompt engineering, fine‑tuning, safety guardrails, and human‑in‑the‑loop workflows
prior NLP/ML experience before LLMs is strongly valued
5+ years of programming experience in Python and SQL, with experience deploying AI solutions in cloud environments (GCP, AWS, or Azure) and integrating with enterprise data platforms
5+ years’ experience in at least one area of advanced modeling for patient safety and pharmacy operations: predictive modeling for medication safety, medication error detection, non‑adherence prediction, time‑series forecasting, causal inference, or reinforcement learning for workflow optimization
3+ years’ experience translating complex AI and safety analytics into measurable clinical and business impact, including working with pharmacy leaders, clinical safety, and compliance partners
3+ years’ experience leading end‑to‑end AI solution delivery: from data curation and model development through validation, deployment, monitoring, and scaled adoption across retail pharmacy locations
Demonstrated ability to communicate complex concepts to technical and non‑technical stakeholders, with a track record of building intuitive tools for pharmacists, technicians, clinicians, and call‑center agents
Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline

Job Responsibility

Building and scaling generative AI and agentic AI solutions that enhance medication safety, strengthen clinical decision‑making, and improve pharmacy workflows
Designing and executing a safety‑first, consumer‑centric analytics strategy powered by AI agents and LLMs that integrates prescribing, dispensing, adherence, and engagement data to deliver proactive insights and closed‑loop support for pharmacy teams
Partnering with pharmacy operations, clinical, digital, and technology teams to ensure our tech‑enabled pharmacy remains powered by people, supporting colleagues with intelligent tools while advancing CVS Health’s purpose to simplify health care and improve the health and well‑being of those we serve

What we offer

Affordable medical plan options
401(k) plan (including matching company contributions)
Employee stock purchase plan
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching
Paid time off
Flexible work schedules
Family leave
Dependent care resources
Colleague assistance programs
Tuition assistance

Fulltime

AI Product Manager

We’re scaling AI and machine learning across our products, devices, and operatio...

Location

United States , Boston

Salary:

121300.00 - 177900.00 USD / Year

SimpliSafe

Expiration Date

Until further notice

Requirements

8+ years of product management experience, including significant ownership of AI/ML or data-intensive products
Clear track record of shipping production ML systems (not just integrating third-party AI APIs), in close partnership with data science, ML engineering, and MLOps
Principal-level impact: leading cross-team initiatives, shaping strategy, and influencing senior stakeholders
Strong understanding of core ML concepts and lifecycle: data, labeling, training/validation, evaluation metrics, deployment, monitoring, and retraining
ML experience with at least one of following: computer vision or sensor data, LLM-powered applications (prompting, RAG, fine-tuning, evaluation) and/or hardware or edge products (e.g., on-device models, connectivity/latency trade-offs)
Familiarity with modern ML infrastructure (cloud platforms, model serving, CI/CD for ML, monitoring/alerting)
Comfortable going deep into data, metrics, and model behavior—not just the UX layer
Excellent communicator who can make complex AI topics clear to diverse audiences
Strong alignment with our values: customer-obsessed, low ego, highly collaborative, comfortable with ambiguity, and biased toward learning and iteration.

Job Responsibility

Define and communicate the multi-year roadmap for key AI/ML capabilities across SimpliSafe
Identify and prioritize AI opportunities where models and data can materially improve safety, customer experience, or efficiency—on both devices and cloud services
Make build-vs-buy decisions for AI capabilities in partnership with data science and engineering
Partner with data scientists, ML engineers, and MLOps to design and deliver end-to-end ML solutions—from problem framing through data, training, evaluation, deployment, and monitoring
Work with hardware and embedded teams to shape edge AI/ML experiences (e.g., on-device detection, low-latency decisions, bandwidth-aware designs)
Define model-level requirements (metrics, latency, cost, guardrails) and connect them to business outcomes (e.g., false alarm reduction, detection accuracy, handle time, CSAT)
Translate product needs into requirements for ML platform capabilities (model serving, observability, experiment tracking, human-in-the-loop tools)
Lead product direction for LLM and multimodal use cases (e.g., text, vision, sensor data)
Decide when to use prompt engineering, RAG, fine-tuning, or traditional ML—and how to evaluate quality, safety, and hallucinations
Design workflows that incorporate human review and escalation where needed

What we offer

A mission- and values-driven culture and a safe, inclusive environment where you can build, grow, and thrive
A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families
Free SimpliSafe system and professional monitoring for your home
Employee Resource Groups (ERGs) that bring people together, give opportunities to network, mentor and develop, and advocate for change
Participation in our annual bonus program, equity, and other forms of compensation, in addition to a full range of medical, retirement, and lifestyle benefits.

Fulltime

Global Development Product Lead

Leads multiple cross functional oncology product teams from pre-clinical candida...

Location

United States , La Jolla; Cambridge; Bothell; South San Francisco; New York City

Salary:

295900.00 - 478800.00 USD / Year

Pfizer

Expiration Date

Until further notice

Requirements

MD or MD-PhD with 10+ years of industry experience in oncology drug development is preferred, track record in oncology clinical research including early phase drug development
Clinical oncology experience: Board certification in oncology preferred
Significant industry leadership experience in clinical, translational or basic research in biomedical sciences or one of the disciplines related to drug development
Understanding of related disciplines (e.g., biostatistics, regulatory, pre-clinical pharmacology, pharmaceutical sciences)
Demonstrated scientific productivity (publications, abstracts, etc.)
Proven scientific writing skills and good communication skills
Proven leadership skills with ability to defend the clinical plan at governance meetings is essential
Capacity to adapt to a fast-paced and changing environment
Demonstrated history of effective leadership
including cross functional and matrixed teams, managing direct reports when applicable, and experience in seeking and maintaining alignment with cross-functional leaders

Job Responsibility

Leads multiple (~2-4) cross functional oncology product teams from pre-clinical candidate nomination (CAN) through Phase 1-2 clinical development and proof of concept (POC) stages
In close collaboration with functional experts on the product teams, drives the effective integration of an end-to-end cross functional molecule strategy and risk mitigation plan and ensures delivery of data-driven milestones through successful risk identification and mitigation
Support clinical trials and the development strategy for early development assets and lead development programs across multiple functions within Pfizer Oncology, as well as represent the program with the external clinical community
Develop clinical development plan from first in human clinical trial to proof-of-concept, including assessment of appropriate combinations, as well as evaluation of potential predictive and pharmacodynamics biomarker plans
To ensure the cross-functional components of the product plans including clinical expertise are provided to project teams, including medical monitoring of clinical trials
Substantial support of CDP development and diligence for external innovation activities
Lead key enterprise level cross-functional workstreams to accelerate R&D decision making
Lead, develop and execute strategic development for early development assets
Ensure timely execution and delivery of product milestones within budget
Communicate with executive management and governance committees to address program needs and provide recommendations

What we offer

Participation in Pfizer’s Global Performance Plan with a bonus target of 30.0% of the base salary
Eligibility to participate in our share based long term incentive program
401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution
Paid vacation, holiday and personal days
Paid caregiver/parental and medical leave
Health benefits to include medical, prescription drug, dental and vision coverage
Relocation assistance may be available based on business needs and/or eligibility

Fulltime

Product Manager, Automation - Go to Market (GTM)

We are building the automation backbone of Block. The systems you help create wi...

Location

United States , Bay Area

Salary:

168300.00 - 297000.00 USD / Year

Cash App

Expiration Date

Until further notice

Requirements

6 to 9 years of product management experience, with a strong track record shipping AI or ML-driven products
Deep technical intuition around machine learning systems, including training loops, evaluation, prompt design, data pipelines, and real-time inference constraints
Experience running structured experiments such as A/B tests and offline model evaluations
A true ownership mindset and the ability to drive complex initiatives across teams without waiting for permission
Clear, compelling communication skills for executive, technical, and operational audiences
Worked deeply with Sales and Marketing leaders
truly understanding their jobs to be done, workflows, pain points and tooling stacks
Experience working in scaled, high-stakes, or regulated environments such as risk, compliance, or operations
Strong understanding of AI quality, safety, and responsible use
Hands-on experience with LLMs, multimodal models, or applied generative AI

Job Responsibility

Own the strategy and roadmap for AI-powered products that matter
Identify automation opportunities rooted in real user pain and measurable business outcomes
Turn ambiguous, high-stakes problems into clear product direction and requirements
Partner deeply with ML engineers, data scientists, and researchers on model goals, data strategy, evaluation, and quality thresholds
Design and run experiments to test ideas fast and learn even faster
Define product behavior across success paths, failures, and edge cases
Set and own metrics for accuracy, safety, latency, reliability, and user trust
Work with design to build human-AI interactions that are intuitive, transparent, and safe
Collaborate with legal, security, and compliance to ship responsible AI in regulated environments
Lead cross-functional execution from concept to launch and continuous improvement

What we offer

Remote work
medical insurance
flexible time off
retirement savings plans
modern family planning

Fulltime

AI Product Manager

Analyzes, designs, programs, debugs, and modifies software enhancements and/or n...

Location

Singapore , Singapore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent
Typically 6-10 years experience
Extensive experience with multiple software applications design tools and languages
Excellent analytical and problem solving skills
Experience in overall architecture of software applications for products and solutions
Designing and integrating software applications running on multiple platform types into overall architecture
Evaluating forms and processes for software applications testing and methodology, including writing and execution of test plans, debugging, and testing scripts and tools
Excellent written and verbal communication skills
mastery in English and local language
Ability to effectively communicate product architectures, design proposals and negotiate options at senior management levels

Job Responsibility

Leads multiple project teams of other software applications engineers and internal and outsourced development partners responsible for all stages of design and development for complex products and platforms, including solution design, analysis, coding, testing, and integration
Manages and expands relationships with internal and outsourced development partners on software applications design and development
Reviews and evaluates designs and project activities for compliance with applications design and development guidelines and standards
provides tangible feedback to improve product quality and mitigate failure risk
Provides domain-specific expertise and overall software applications leadership and perspective to cross-organization projects, programs, and activities
Drives innovation and integration of new technologies into projects and activities in the software applications design organization
Provides guidance and mentoring to less- experienced staff members
Product strategy and vision: Define the product vision, roadmap, and strategy for AI-powered features or products
Requirements and prioritization: Translate business needs into clear technical requirements and prioritize features for AI/ML development
Team collaboration: Work closely with a cross-functional team that includes AI/ML engineers, data scientists, UX/UI designers, and other technical roles

What we offer

Health & Wellbeing: comprehensive suite of benefits that supports physical, financial and emotional wellbeing
Personal & Professional Development: specific programs catered to helping you reach any career goals
Unconditional Inclusion: unconditionally inclusive in the way we work and celebrate individual uniqueness

Staff AI Engineer

You will operate as a Staff+ AI scientist/engineer on the Orchestration team. Yo...

Location

Australia , Sydney

Salary:

Not provided

Heidi

Expiration Date

Until further notice

Requirements

Staff‑level track record shipping search, NLP, or LLM systems that serve real users at scale
Mastery of Python and SQL
Strong software engineering fundamentals, testing strategy, and API/service design
Depth in modern IR/NLP: embeddings, ANN indexes, re‑rankers, retrieval‑augmented generation, and prompt/program synthesis
Experience building data pipelines: parsing PDFs/HTML, OCR when needed, metadata extraction, and content hashing/versioning
Familiarity with PyTorch, plus distributed training/inference patterns
MLOps and reliability: containers, Kubernetes, feature/model registries, experiment tracking, monitoring, and alerting
Evidence of rigorous evaluation design: offline metrics, human‑in‑the‑loop judging, power analysis for online tests
Clear thinking on safety: hallucination controls, calibration, abstention, red‑teaming, and privacy/security by design
Ability to lead cross‑functional initiatives and make crisp decisions with incomplete information

Job Responsibility

Define the end‑to‑end architecture for literature and guideline ingestion, normalization, metadata extraction, de‑duplication, and versioning
Build hybrid search and retrieval: lexical + vector + re‑ranking, with tight latency budgets and cost controls
Design grounding and answer synthesis that cite sources, preserve provenance, and expose confidence and abstention
Lead model work across prompting, fine‑tuning, distillation, and tool use to improve faithfulness, coverage, and utility
Stand up gold‑standard evaluation: offline IR metrics (nDCG, MAP, recall), factuality/faithfulness audits, and human review with adjudication
Run online experiments at scale. Define guardrails, KPIs, and ship A/Bs to measure impact on clinician workflows
Productionize services with observability, tracing, canaries, rollbacks, and incident playbooks
Set data governance for medical content: access control, PHI handling, audit logs, and retention policies
Partner with clinicians to define intents, schemas, and acceptance criteria. Convert ambiguous questions into testable specs
Coach engineers and scientists. Raise the technical bar through design docs, reviews, and reusable components

What we offer

Flexible hybrid working environment, with 3 days in the office
Additional paid day off for your birthday and wellness days
Special corporate rates at Anytime Fitness in Melbourne, Sydney tbc
A generous personal development budget of $500 per annum
Learn from some of the best engineers and creatives, joining a diverse team
Become an owner, with shares (equity) in the company, if Heidi wins, we all win
The rare chance to create a global impact as you immerse yourself in one of Australia’s leading healthtech startups
If you have an impact quickly, the opportunity to fast track your startup career

Fulltime

Scientist – Human Safety

Unilever

Location:
United Kingdom , Sharnbrook

Category:
Research and Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 01, 2026

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