Data Scientist, Safety Job at Uber (San Francisco)

Senior Data Scientist, Rides Safety

You'll own Bolt's Safety automation and prediction systems end-to-end and direct...

Location

Estonia , Tallinn; Tartu

Salary:

Not provided

Bolt

Expiration Date

Until further notice

Requirements

Strong ownership mindset and comfort working autonomously from problem research to model deployment
3+ years of experience in machine learning for automated decision making
Exceptional knowledge of machine learning algorithms, statistical inference, and autonomous decision-making systems
Mastery in Python and SQL
Skilled at communication with cross-functional stakeholders

Job Responsibility

Identify, research, and prioritise hypotheses to improve automated and predictive safety algorithms (e.g., risk scoring, verification, and progressive interruption systems)
Develop, deploy, and monitor automated safety systems, ranging from classical supervised learning to real-time risk models and advanced control system designs
Design and run large-scale experiments to validate safety approaches and estimate their impact on core safety metrics (e.g., incident rates, verification success, and driver/rider experience)
Lead the data science and ML-first approach to safety and risk management in the company
Partner with analysts, engineers, product managers, and operations specialists to identify safety problems and develop the most efficient, data-informed solutions

What we offer

relocation and visa support

Senior Data Scientist - Literature

Help bring science to life and join a leading pharmaceutical company to play a k...

Location

Switzerland , Basel

Salary:

Not provided

Proclinical

Expiration Date

Until further notice

Requirements

Degree in medicine, pharmacy, or natural sciences
Experience in information science, particularly within pharmacovigilance and drug development
Strong knowledge of medicine, drug development, and biomedical literature databases
Proficiency in scientific data evaluation, interpretation, and synthesis
Excellent written and verbal communication skills, with the ability to explain search strategies effectively
Expertise in classical text searching and familiarity with literature sources and databases
Ability to build strong working relationships in a cross-functional, international environment
Self-motivated, detail-oriented, and capable of prioritizing tasks effectively
Fluent in English, both written and spoken

Job Responsibility

Conduct ad-hoc literature searches in biomedical databases to identify adverse drug reactions and risks associated with medicinal products and devices
Develop, test, document, and maintain search profiles for various safety and efficacy reports, including DSURs, PBRERs, and MDIRs
Ensure timely and accurate delivery of search results while adhering to standard operating procedures
Collaborate with internal stakeholders to define search criteria and maintain effective relationships
Review and validate the plausibility of literature search results
Actively contribute to the Safety Literature Group by sharing knowledge and best practices
Create and deliver training materials on retrieval and reporting topics for team members and stakeholders
Proactively identify opportunities to improve processes, methods, and technologies
Address and escalate any issues related to literature searches as needed

GenAI Model Risk Data Scientist

The Model Risk Data Scientist position is for a professional who would like to m...

Location

United States , Jersey City; New York

Salary:

142320.00 - 213480.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

Master's or advanced degree in quantitative fields such as Mathematics, Statistics, Financial Engineering, Quantitative Finance, Computer Science, Data Science, etc.
AI/ML development experience in a Data Scientist role or similar
NLP development experience in a Data Scientist role or similar
Knowledge of AI risk, safety, and ethics principals and hands-on experience with model validation in a financial institution
Experience in GenAI Model validation or AI/ML Model validation
Experience in a quantitative role in the Financial Markets/Banking/Insurance or experience in Risk capacity at a financial services / insurance institution
Strong organizational and project management skills
Risk and Controls mindset

Job Responsibility

Assist development teams with implementing new GenAI solutions from identification through validation phases
Collaborate with developers and business stakeholders on streamlining the adoption of GenAI within Citi
Own and maintain GenAI solution book of work for eligible GenAI use-cases
Assist with preparations for internal discussions and initial submission for model validation
Own relationships with governance-related stakeholders
Monitor and maintain GenAI solution inventory data and lifecycle
Educate development teams on the model validation process
Own tracking and modeling tools

What we offer

medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages including vacation, sick leave, and paid holidays
discretionary and formulaic incentive and retention awards

Fulltime

Data Scientist Specialist

We are seeking a highly experienced Data Scientist Specialist with deep expertis...

Location

United States , McLean

Salary:

Not provided

Apex Systems

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in AI, Data Science, Computer Science, or related field
Extensive experience in AI/ML, including 3+ years in applied GenAI or LLM-based solutions
Deep expertise in prompt engineering, fine-tuning, RAG, GraphRAG, vector databases, and multi-modal models
Proven experience with AWS cloud-native AI development (SageMaker, Bedrock, MLFlow/Kubeflow on EKS)
Strong programming skills in Python and ML/LLM libraries (Transformers, LangChain, etc.)
Strong understanding of GenAI system patterns, agentic architectures, evaluation frameworks, and guardrails
Demonstrated success working in cross-functional, agile teams
GitHub code repository link required for candidate evaluation

Job Responsibility

Architect and implement GenAI systems: Build scalable AI agents, agentic workflows, and GenAI applications for diverse business use cases
Model development & optimization: Fine-tune and optimize lightweight LLMs
evaluate and adapt models such as Claude (Anthropic), Azure OpenAI, and open-source alternatives
RAG & GraphRAG architectures: Design and deploy Retrieval-Augmented Generation (RAG) and GraphRAG systems using vector databases and enterprise knowledge bases
Enterprise data curation: Curate and prepare enterprise data using connectors integrated with AWS Bedrock Knowledge Bases and/or Elasticsearch
Agent interoperability: Implement solutions leveraging Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication patterns
Experimentation & ML platforms: Build and maintain Jupyter-based notebooks using SageMaker, MLFlow, or Kubeflow on Kubernetes (EKS)
Cross-functional collaboration: Work with UI engineers, microservices teams, designers, and data engineers to deliver full-stack GenAI experiences
Enterprise integration: Integrate GenAI solutions with enterprise platforms via APIs and standardized GenAI architectural patterns
Evaluation & safety: Establish evaluation frameworks, bias mitigation strategies, safety protocols, and guardrails for production deployment

What we offer

medical
dental
vision
life
disability
other insurance plans
ESPP (employee stock purchase program)
401K program with company match after 12 months
HSA (Health Savings Account on the HDHP plan)
SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions

Associate Director, Pharmacovigilance Scientist

The Associate Director, Pharmacovigilance Scientist will provide leadership, gui...

Location

United States , Waltham

Salary:

160000.00 - 200000.00 USD / Year

Kailera Therapeutics

Expiration Date

Until further notice

Requirements

A minimum of 10+ years of experience in global pharmacovigilance in pharmaceutical, biotech, or CRO setting with a Bachelors degree or 5+ years of experience with an advanced degree
Experience in safety data analysis, signal management, and benefit-risk evaluation
Knowledge of safety databases (Argus, ArisG/LifeSphere Safety, Veeva or similar), ICSR workflows, and MedDRA coding
Experience with authoring or contributing to aggregate safety reports, signal assessment reports
Working knowledge of relevant local and global regulatory requirements and guidance documents
Experience in creating or managing SOPs or Work Instructions
Strong ability to proactively identify signals, trends, risks, and initiate/manage risk minimization activities
Strong ability to work independently and collaboratively with internal and external partners in a demanding environment
Ability to prioritize, multitask, and deliver quality results that meet tight timelines
Fluency in written and spoken English with strong ability to communicate complex issues clearly

Job Responsibility

Perform and coordinate complex benefit-risk assessment and safety surveillance activities
Serve as a critical contributor to the safety governance framework, prepare safety data for review, coordinate and attend Safety Management Team and Medical Safety Board meetings
Coordinate and support strategies for safety assessments in collaboration with the safety physician and medical development as applicable
Lead and contribute to the management of aggregate safety reports (e.g., DSURs, PBRERs, PADERs, periodic line listings) including scheduling, planning, and authoring assigned sections
Collaborate with cross-functional teams to regularly review emerging safety data for the purposes of trend analysis and/or signal detection as applicable
Contribute to the preparation of queries in the safety database, retrieve and present data for regular and ad-hoc safety reviews
Perform safety signal management activities
conduct signal detection, author signal validation/evaluation reports, track and communicate findings
Collaborate cross functionally to access and utilize data visualization and analysis tools for regular and ad-hoc safety reviews
Lead or assist with the preparation of Risk Management Plans (RMPs)

What we offer

Comprehensive health benefits and tax-advantaged savings accounts
Flexible time off, 13 paid holidays, and a companywide year-end shutdown
Monthly wellness stipend
Generous 401(k) match
Disability and life insurance

Fulltime

Aerospace Systems Safety Engineer – Data Scientist

The Boeing Company is seeking a Mid-Level (Level 3) or Senior (Level 4) Aerospac...

Location

United States , Everett; Seattle

Salary:

114750.00 - 190900.00 USD / Year

Boeing

Expiration Date

February 19, 2026

Requirements

Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement
Level 3: 5+ years of related work experience or an equivalent combination of education and experience
Level 4: 9+ years of related work experience or an equivalent combination of education and experience
2+ years of practical experience in the aviation and/or safety domain (e.g. pilot, air traffic controller, etc)
Ability to understand data concepts and drive and derive insights from data.
Knowledge of basic statistical concepts
Strong written and verbal communication skills
Ability to write concise safety findings and present to cross functional teams
Ability to work cross-functionally and manage multiple priorities
5+ years of experience working with real world data

Job Responsibility

Conducts system research and analysis to identify potential or investigate reported in-service fleet hazards, risks, and safety concerns and quantifies impact.
Identifies safety and mission assurance issue systemic root causes and recommends corrective actions using industry best practices.
Collaborates with internal and external stakeholders to define, validate, and integrate safety, mission success, and airworthiness requirements
incorporates into designs, operations, and procedures.
Creates and maintains analytic tools and data-driven processes to asses safety risk and inform safety enhancement.
Documents safety analysis, hazard mitigation, validation and verification activities in compliance with relevant customer and regulatory safety standards.
Contributes to establishing global safety advocacy strategies, training, tools, and methods.
Ingests, cleans, fuses, and validates aviation data sources (e.g., ADS‑B, FMS, FOQA, maintenance logs, text reports).
Performs exploratory, statistical, and time/trajectory-based analyses to identify safety trends, anomalies, and risk drivers.
Develops, validates, and maintains analytics, models, and monitors (descriptive, diagnostic, predictive, or prescriptive) to quantify risk and measure mitigations.

What we offer

Generous company match to your 401(k).
Industry-leading tuition assistance program pays your institution directly.
Fertility, adoption, and surrogacy benefits.
Up to $10,000 gift match when you support your favorite nonprofit organizations.
Health insurance
flexible spending accounts
health savings accounts
retirement savings plans
life and disability insurance programs
paid and unpaid time away from work

Fulltime

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Senior Data Scientist, Rides Safety

We’re looking for an experienced Data Scientist to join our Rides Safety team an...

Location

Estonia , Tartu; Tallinn

Salary:

Not provided

Bolt

Expiration Date

Until further notice

Requirements

Strong ownership mindset and comfort working autonomously from problem research to model deployment
3+ years of experience in machine learning for automated decision making
Exceptional knowledge of machine learning algorithms, statistical inference, and autonomous decision-making systems
Mastery in Python and SQL
Skilled at communication with cross-functional stakeholders

Job Responsibility

Identify, research, and prioritise hypotheses to improve automated and predictive safety algorithms (e.g., risk scoring, verification, and progressive interruption systems)
Develop, deploy, and monitor automated safety systems, ranging from classical supervised learning to real-time risk models and advanced control system designs
Design and run large-scale experiments to validate safety approaches and estimate their impact on core safety metrics (e.g., incident rates, verification success, and driver/rider experience)
Lead the data science and ML-first approach to safety and risk management in the company
Partner with analysts, engineers, product managers, and operations specialists to identify safety problems and develop the most efficient, data-informed solutions

Director, Clinical Scientist

The Director, Clinical Scientist is a senior, hands-on scientific leader respons...

Location

United States , Waltham

Salary:

175000.00 - 230000.00 USD / Year

Kailera Therapeutics

Expiration Date

Until further notice

Requirements

8+ years of extensive hands-on experience supporting clinical trials in a clinical development role
Demonstrated experience reviewing and interpreting clinical trial data listings
Strong understanding of clinical trial conduct and cross-functional trial workflows
Proven ability to partner effectively with Clinical Operations
Exceptional organizational, prioritization, and execution skills
Strong written and verbal communication skills
Advanced PowerPoint skills
working knowledge of Excel and other commonly used clinical systems/tools
Ability to manage multiple studies and deadlines in a fast-paced environment
Advanced degree in life sciences discipline (PhD, PharmD, MS, or equivalent)

Job Responsibility

Support the Medical lead for one or more Phase I–III clinical studies
Support studies across the full trial lifecycle, from start-up through database lock and reporting
Lead ongoing review of clinical trial data listings, including adverse events, laboratory data, concomitant medications, vitals, ECGs, and safety outputs
Identify data trends, inconsistencies, and potential issues
partner with Data Management, Biostatistics, and Safety to resolve them
Act as a close scientific partner to Clinical Operations to deliver on trial execution
Collaborate effectively with cross-functional teams including Clinical Operations, Data Management, Biostatistics, Programming, Safety, and Regulatory
Author, review, and contribute to trial documents, such as protocols, amendments, Investigator’s Brochures, and Clinical Study Reports
Develop and deliver clear, well-structured presentations to study teams and internal leadership
Drive execution, follow-through, and accountability across multiple concurrent deliverables

What we offer

comprehensive health coverage
flexible time off
paid holidays
year-end shutdown
monthly wellness stipend
generous 401(k) match
tuition reimbursement
commuter benefits
disability and life insurance
annual bonus opportunities

Fulltime

Data Scientist, Safety

Uber

Location:
United States , San Francisco

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 17, 2026

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