Director, Applied Science Job at Viant (Irvine)

Physician Director Oncology Data Science - Translational Science

Are you looking for an opportunity to lead a Translational Data Science team wit...

Location

United States , Collegeville, Pennsylvania

Salary:

Not provided

GSK

Expiration Date

Until further notice

Requirements

medical degree
Completion of a clinical residency program leading to board qualification or certification in internal medicine, pathology, pediatrics is required
10 years plus academic or industry experience in Computational Biology, Bioinformatics, or Translational/Clinical AI with focus on Oncology
5 years of leadership or matrix leadership experience in Computational Biology, Applied AI/ML, Cancer Biology or a related field

Job Responsibility

Lead and build a growing team of Translational Data Scientists to support and innovate the Oncology portfolio pipeline
Leverage your clinical training and experience to translate complex computational and molecular insights into clinically meaningful hypotheses, study designs, and biomarker strategies that directly inform patient care and oncology clinical development
Contribute scientific expertise and design to multiple drug discovery or development efforts across oncology
Act as a competent and recognized expert in developing and critiquing the scientific validity of research/development initiatives to drive the development and delivery of long-term scientific strategy in Oncology Genomics
Individually contribute with analyses and integration of complex cancer datasets. This includes analysis of histopathology imaging data, gene & protein expression (bulk + single cell + spatial), somatic mutations, copy number alterations, and structural variants
Apply statistical methods and AI/machine learning algorithms to identify patterns in data, predict drug response, and discover potential biomarkers. Critically evaluate results. Conduct survival analysis to assess the impact of various factors on patient outcomes
Lead the development and use of bioinformatics pipelines
Serve as a recognized leader in driving technological foresight within specific scientific function or directing content of programs
Lead and influence the outcome of multidisciplinary meetings including partners in therapeutic research units, translational and clinical development teams.
Communicate complex scientific findings clearly to both technical and non-technical audiences.

What we offer

Competitive base salary
Annual bonus based on company performance
Flexible working options available for most roles
Learning and career development
Access to healthcare & wellbeing programmes
Employee recognition programmes

Fulltime

Data Science Director

We’re looking for a seasoned analytics leader to drive data-informed decisions f...

Location

United States , Menlo Park

Salary:

253000.00 - 314000.00 USD / Year

Senior Director, Applied Research

Senior Director, Applied Research. Overview: At Capital One, we are creating tru...

Location

United States , San Francisco, California; Richmond, Virginia; New York, New York; Cambridge, Massachusetts; McLean, Virginia; San Jose, California

Salary:

318100.00 - 435700.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 8 years of experience in Applied Research
At least 5 years of people leadership experience

Job Responsibility

Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money
Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data
Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation
Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences
Flex your interpersonal skills to translate the complexity of your work into tangible business goals

Fulltime

Director, Applied Machine Learning

This leader works in tight partnership with the MLOps team (deployment, monitori...

Location

India , Bangalore

Salary:

Not provided

Danaher Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, engineering, data science, or a related field
advanced degree preferred
10+ years of experience in applied machine learning and/or data science, with 4+ years in people leadership roles
Proven experience building and scaling teams that deliver machine learning models into production with measurable impact
Strong applied foundation in ML methods and evaluation, with the judgment to select practical approaches and manage tradeoffs
Demonstrated ability to partner effectively with MLOps and platform teams to operationalize models reliably and securely
Experience working in a product delivery model, collaborating with product managers, engineers, and business stakeholders in a matrixed environment
Strong communication skills, including the ability to explain technical tradeoffs, align on priorities, and influence senior stakeholders
Working knowledge of cloud-based data and ML stacks and modern engineering practices (CI/CD, testing, observability, security by design)
Delivering ML solutions in regulated environments (e.g., life sciences, healthcare, biotech), including familiarity with SOX and/or GxP expectations

Job Responsibility

Build and lead a new applied machine learning team, including hiring, coaching, career development, and setting a high-performance culture with clear delivery accountability
Establish the applied ML charter, operating model, and engagement pattern with data product teams to ensure ML work is prioritized by value and delivered as part of product roadmaps
Own model development end-to-end, including problem framing, feature strategy, model selection, training, evaluation, and iteration based on business and technical metrics
Partner with data product managers and domain stakeholders to define use cases, success measures, and adoption plans, ensuring solutions are usable and drive outcomes
Work closely with the MLOps team to productionize models with strong engineering rigor, including CI/CD, model registries, reproducible training, automated testing, monitoring, and retraining triggers
Collaborate with the data platform team to ensure ML solutions leverage trusted, standardized data assets and patterns (e.g., curated datasets, lineage, access controls, scalable pipelines)
Define and enforce best practices for applied ML delivery, including experimentation discipline, documentation, model governance, and responsible AI practices appropriate for the business context
Ensure models and workflows meet security, privacy, and compliance requirements, including operating effectively in SOX and GxP environments where applicable
Drive reuse and scale by developing shared components (feature patterns, evaluation templates, reference architectures) and reducing one-off model implementations
Provide senior technical leadership and pragmatic guidance to stakeholders on when ML is appropriate versus rules-based or analytical alternatives

Fulltime

Data Science Director, Growth

We’re looking for a Data Science Director for Growth to lead the data science en...

Location

United States , San Francisco

Salary:

300000.00 - 320000.00 USD / Year

Airwallex

Expiration Date

Until further notice

Requirements

10+ years in data science, analytics, or applied ML
5+ years leading teams at scale in top-tier tech, fintech, or growth-driven businesses
Proven track record of using data science to drive customer acquisition, funnel optimization, personalization, and retention in high-growth B2B products
Strong background in analytics, statistical modeling, causal inference, experimentation design
Proficiency with Python/R, SQL, and cloud-based data platforms
Comfortable navigating business trade-offs, prioritizing initiatives for outsized growth impact
Skilled at partnering with Product, Engineering, and Marketing leaders
Thrives in fast-scaling environments with high ambiguity
Exceptional verbal and written communication skills with the ability to influence executive-level stakeholders

Job Responsibility

Lead & Scale a High-Impact Team
Own Experimentation at Scale
Develop Growth-Focused AI Solutions
Deliver Strategic Insights & AI-Enhanced Playbooks
Partner Across Functions
Define Metrics & Drive Measurement
Champion Data-Driven Culture

What we offer

Offers Equity
Offers Bonus
Medical, dental, and vision insurance
401(k) plan
Short-term and long-term disability
Basic life insurance
Well-being benefits
20 paid days of vacation
12 paid days of company holidays

Fulltime

Director, Applied AI Engineering- Enterprise

Join the team shaping the future of AI at Scale. The Applied AI team works on th...

Location

United States , San Francisco; New York

Salary:

285200.00 - 356500.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

8+ years of experience building, deploying, and scaling ML systems in production, including Enterprise-grade Gen AI and agentic applications
6+ years of people leadership experience, including managing managers and leading multi-team organizations delivering customer-facing AI products
Deep applied expertise in Gen AI, including LLM-based systems, agent orchestration, evaluation and reliability frameworks, and production system design
Experience owning end-to-end AI product delivery—from problem definition and technical architecture to deployment, iteration, and scaling
Strong technical judgment across software engineering, system design, and applied ML fundamentals
Exceptional communication and stakeholder management skills, with the ability to influence executives, customers, and cross-functional partners
Bachelor’s degree required
Master’s or PhD in Computer Science or a related field strongly preferred

Job Responsibility

Drive enterprise impact with GenAI: Partner directly with customers to identify high-leverage opportunities for generative AI, design solutions, and deliver production systems that create clear business value
Lead and scale a GenAI-native Applied AI organization: Build, mentor, and manage multiple teams of Applied AI Engineers and ML Engineers who are native to modern GenAI technologies, agentic systems, and multimodal models
Set technical and strategic direction: Define best practices for agent development, evaluation, deployment, and iteration across customer engagements and internal product efforts
Bridge frontier research to real-world applications: Translate advances in LLMs, multimodal models, and agentic workflows into practical, scalable solutions across industries
Discover model limitations and inspire innovation: Identify failure modes, inefficiencies, and gaps in current models
use these insights to influence internal research, product roadmaps, and customer strategy
Partner cross-functionally: Work closely with Product, Research, Sales, and Leadership to shape Applied AI offerings, prioritize investments, and guide long-term platform evolution
Influence the broader AI ecosystem: Represent Scale’s Applied AI capabilities with customers and partners, and help position Scale as a trusted leader in enterprise GenAI deployment

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO
equity based compensation
commuter stipend

Fulltime

Director - Applied Sciences - Observability (CoreAI)

CoreAI is at the forefront of Microsoft’s mission to redefine how software is bu...

Location

United States , Redmond

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience
OR equivalent experience
1+ year(s) of people management experience
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check

Job Responsibility

Acting as a leading expert in your field you will recognize relevant people, organizations, and institutions influencing the research agenda and competitive landscape
You will champion innovative principles and form strategic partnerships with thought leaders in the industry
You will incorporate key business and product requirements to define a clear agenda and vision that influences the direction of the company for strategic advantage
You’ll drive programs structured around key business challenges and hold team members accountable for applying deep subject matter expertise
You will leverage your network and personal expertise to attract new research talent to join Microsoft
You’ll identify cutting-edge solutions for products, create new application areas as needed, and recruit new headcount for these areas
You will document work in progress and provide leadership for team members with documentation processes used
You’ll advocate for research and product groups and drive discussions around ethics and privacy

Fulltime

Director, Data Science

This is an individual contributor data science role. In this role, the individua...

Location

United States , Boston

Salary:

126000.00 - 255000.00 USD / Year

Fidelity Investments

Expiration Date

Until further notice

Requirements

PhD or Master's in ML, Computer Science, Statistics, Physics, or Finance (with a background in Statistics or ML), with 6+ years plus of industrial experience
Deep expertise in Python, data-centric ML techniques including engineering principles for building efficient inference tools
Experience taking a model from research to production and realizing measurable value from it to the team or firm
Ability to work on and drive progress for multiple projects at the same time
Experience guiding business on identifying AI/ML use cases and optimally contributing to brainstorming sessions
Desires to create a climate that values and rewards contributions, drive, ownership, initiative, and achievement of results
Excellent planning, project management, leadership, and research skills
Experience communicating results to business stakeholders with a focus on clear, concise, and understandable delivery including conveying statistical findings through data visualizations
Enthusiasm for learning new skills and domains, including applying state-of-the-art ML research to real-world data challenges
Experience or strong interest in quantitative finance and modeling financial markets

Job Responsibility

Leads machine learning projects with diverse scope and complex business and technical challenges
Coordinates with senior business and technology partners to develop solutions to the most complex business analytical needs
Oversees end-to-end process to push code from research to production
Delivers results with clear and measurable impact to the business
Consults with senior business and technology partners to identify priorities and establish analytic goals
Executes on direction for data identification, collection and qualification activities
Presents reports and findings to senior technical and non-technical audiences

What we offer

Comprehensive health care coverage and emotional well-being support
Market-leading retirement
Generous paid time off and parental leave
Charitable giving employee match program
Educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career

Fulltime

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Director, Applied Science

Job Description

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Requirements

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