Senior Data Scientist -  Experimentation & Measurement

San Diego, CA

Overview:

As a Senior Data Scientist on the Decision Science team within the Data Science, Analytics, & Enablement (DSAE) organization at PlayStation, you will take a leading role in designing and interpreting experiments that evaluate the impact of PS4 to PS5 user migration initiatives, growth marketing strategies, and broader campaign performance. This role is focused on advancing our experimentation practices—bringing statistical rigor, clear measurement strategies, and deep causal inference expertise to some of the most critical initiatives across PlayStation.

What You’ll Be Doing:

• Lead the design, execution, and interpretation of A/B tests and quasi-experiments to evaluate the impact of user migration initiatives (PS4 to PS5), growth marketing strategies, and campaign performance.
   
• Partner with cross-functional teams (product, engineering, marketing) to embed experimentation into development and iteration cycles.
   
• Serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication.
   
• Apply advanced causal inference methods when experimentation isn’t feasible or to inform test design and prioritization.
   
• Help define and contribute to centralized experimentation frameworks, tools, and documentation to scale best practices across the company.
   
• Independently extract, transform, and analyze data from complex systems using SQL, Python, and other analytics tools.
   
• Communicate findings clearly to technical and non-technical stakeholders, helping drive business decisions with rigor and clarity.
   
• Stay current on new methodologies in experimentation and causal analysis, and bring fresh perspectives to the team’s work.

Basic Requirements:
 

• Bachelor’s degree or equivalent.
   

• 5+ years of experience in a data science experimentation-focused role (3+ with PhD).
   

• Deep expertise in A/B testing and causal inference, including quasi-experimental methods.
   

• Proficiency in SQL for data extraction and transformation.
   

• Proficiency in Python, including statistical and data science libraries.
   

• Broad and applied knowledge of statistical techniques and machine learning modeling methods.
   

• Proven ability to influence product and business decisions through clear, actionable insights.
   

• Experience contributing to or developing experimentation frameworks, best practices, or internal tooling.
  

  Preferred Requirements:

• Master’s or PhD in Statistics, Economics, or Econometrics. Other degrees in quantitative disciplines may be considered.
   

• Bonus: Interest in or knowledge of video games, gaming platforms, or player behavior.

#LI-KC

Who we are 

In the past, to be a successful restaurateur, you simply had to have a passion for food and a passion for people - but to succeed as a digital restaurateur you also need to have a passion for technology. We believe in the joy of serving others, and that's why we created Otter – to help restaurateurs succeed in online food delivery. Restaurants around the world, both large and small, including Chick-fil-A, Ben & Jerry’s, KFC, and Eataly trust our software to power their delivery business. We increase sales, reduce order issues, and decrease delivery headaches. 

What you’ll do 

• Develop and execute a sales plan to drive revenue growth and expand customer and market share in your territory.
• Achieve or exceed individual closed-won quota consistently while maintaining a robust pipeline equating to [3-4x] of expected throughput.
• Engage in proactive prospecting and field sales activities to identify and close new business opportunities.
• Serve as the primary point of contact for customer needs, providing exceptional service and resolving escalations.
• Collaborate with Sales Leads and cross-functional teams to drive account-based marketing campaigns and lead-nurturing initiatives.
• Build and maintain long-term relationships with customers, understanding their challenges and positioning solutions to meet their needs.
• Provide qualitative and quantitative updates on pipeline health and pacing to quota during weekly sales calls.
• Deliver effective presentations, solution proposals, and negotiations tailored to customer needs, ensuring seamless hand-offs to onboarding/success teams post-sale.
• Collect and relay customer feedback to inform Product Marketing and improve offerings.

What we’re looking for

• Curiosity - an insatiable appetite to understand customers’ challenges; a lifelong learner
• Hustler - analytical, data-driven, trend identifier 
• Adaptability - you’re highly flexible and responsive to changing external conditions
• Leader - empathetic, clear communication, community builder 
• Communicator - creative, innovative, strategic
• Bachelor’s degree in a business-related discipline (marketing, sales, finance, economics)
• 1 - 3+ years of experience (preferably 1+ years as a front-line field sales)
• Excellent communication, interpersonal, and organizational skills
• Strong writing, strategic thinking, and planning skills
• Extremely ambitious, hard working and self motivated
• Results and detail-oriented
• Ability to adapt, learn and operate with a growth mindset
• Highly creative and tries to solve problems in new and innovative ways
• Executive presence 
• Proficiency in Google Suite (docs, slides, sheets)

Nice-to-haves

• Proficiency in Salesforce, SalesLoft, or similar CRM / sales engagement tools

Why join us 

• Demand for online food delivery is growing really fast! In the last 5 years, just in the US, the overall market has expanded 10X from $10B to $100B, and could expand to $500bn- $1T by 2030.
• Changing the restaurant industry: You’ll be part of a team that helps restaurants succeed in online food delivery. 
• Collaborative environment: You will receive support and guidance from experienced colleagues and managers, helping you to learn, grow and achieve your goals, and you’ll work closely with other teams to ensure our customer’s success.

What else you need to know

This role is based in our San Diego office location. As a company driven by innovation and continuous change, close collaboration is essential. We’re constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together. That’s why all of our office-based teams work onsite, five days a week.

What you'll be doing:

Client Partnership & Implementation

• Own and manage an enterprise client portfolio as primary technical advisor
• Deliver seamless implementations from kickoff through go-live, coordinating internal teams and ensuring timely deployment
• Develop deep knowledge of each client's goals and translate them into actionable plans with measurable results
• Engage clients regularly via Zoom, email, phone, and on-site visits to strengthen relationships and ensure alignment

Adoption & Value Realization

• Drive product adoption with measurable improvements in usage metrics and client health scores
• Conduct technical assessments of API implementations and lead quarterly optimization sessions
• Guide clients on product integrations and troubleshooting in collaboration with Implementation Engineer and Support
• Serve as the first technical point of contact for enterprise clients during implementation and post–go-live, owning technical triage and driving resolution with Implementation and Support.
• Educate clients on best practices to maximize value from Symmetry's solutions

Client Health & Retention

• Monitor client health scores, usage metrics, and interaction to identify risks early and implement mitigation plans
• Provide prompt, professional responses to inquiries ensuring fast resolution and strong confidence
• Support renewal readiness and risk mitigation in partnership with Account Manager

Operational Excellence

• Identify process improvements that reduce implementation time and increase team capacity
• Leverage AI tools and automation to streamline reporting, communication, and coordination
• Maintain thorough documentation in CRM and ticketing systems
• Collaborate with Sales, Product, Engineering, and Support to address issues and drive continuous improvement

Experience & Requirements:

Required Background:

• Bachelor's degree or equivalent combination of education and experience
• 5+ years in Client Success, Account Management, or Implementation Management in B2B SaaS
• Proven track record managing enterprise portfolios and guiding retention, adoption, and satisfaction
• Experience project managing complex software implementations from kickoff through go-live
• Technical aptitude to understand API/SDK integrations, conduct assessments, and troubleshoot issues
• Track record leveraging data and metrics to drive client outcomes and operational efficiency
• Experience in payroll, HR tech, or compliance technology strongly preferred

Core Skills & Attributes:

• Proven technical acumen with ability to translate capabilities into business value
• Extraordinary relationship-building skills to advise enterprise stakeholders on technical and business outcomes
• Outstanding communication skills with ability to simplify complex technical concepts
• Proactive, ownership-driven mindset with accountability for results
• Keen analytical and critical thinking with comfort in qualitative and quantitative analysis
• Great organizational and project management skills managing multiple priorities
• Client-first orientation committed to delivering measurable value
• Collaborative team player thriving in cross-functional partnerships
• Demonstrated ability to leverage AI and automation for efficiency
• Continuous learning mindset staying current on product innovations

Technology Experience:

• Comprehension of API/SDK architecture, RESTful APIs, and integration concepts
• Ability to read API documentation and guide clients through technical implementation
• Experience with API testing tools (Postman or similar) for client troubleshooting
• Proficiency with CRM systems (NetSuite, Salesforce, or comparable)
• Experience with customer success platforms (Catalyst, Gainsight, ChurnZero, or similar)
• Working knowledge of project management and ticketing systems (Jira, Asana, Zendesk, or comparable)
• Proficiency with Google Workspace (Slides and Sheets including formulas and data analysis)
• Experience with virtual meeting platforms (Zoom, Microsoft Teams, or similar)
• Experience with generative AI tools (ChatGPT, Gemini, or comparable) and building AI agents
• Project management certification (PMP, CAPM, Google Project Management) is a plus
• API fundamentals certification (Postman Student Expert or equivalent) is a plus

Compensation Details

Our cash compensation amount for this role is targeted at $121,000/yr- $149,000/yr in Scottsdale. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above. 

Please note that this position can be based in Princeton, NJ. Acadia's hybrid model requires this role to work in our office three days per week on average.

Position Summary

Primary Responsibilities

• Design, develop, validate, and deploy machine learning, statistical, and GenAI solutions that address complex business problems and support enterprise priorities
• Contribute to execution of the enterprise AI strategy and roadmap by providing technical input on use‑case feasibility, value hypotheses, architecture decisions, and build‑vs‑buy assessments
• Build and maintain scalable ML and LLM pipelines from data ingestion through production, adhering to established ML Ops and LLM Ops standards including versioning, evaluation, observability, and rollback
• Partner with business, analytics, IT, and security teams to identify, prototype, and deliver high‑value AI use cases across the organization
• Evaluate and integrate AI and GenAI platform components such as model endpoints, vector databases, agent frameworks, and guardrails in alignment with enterprise architecture standards
• Contribute to AI governance by supporting model documentation, lineage, risk assessment, bias testing, explainability, and compliance with applicable regulations and frameworks
• Provide technical input into AI platform and vendor evaluations, including RFI/RFP activities and assessments of cost, security, and data residency
• Support AI enablement efforts through development of reusable patterns, reference implementations, and technical documentation to accelerate adoption
• Apply and uphold policies for AI lifecycle management, bias/robustness testing, explainability, human oversight, and incident response. Support mapping of AI controls to major frameworks and regulations (e.g., NIST AI RMF, EU AI Act readiness) to ensure responsible and compliant AI deployment.
• Ensure all data science work complies with global AI regulations, ethical standards, and applicable GxP processes.
• Participate in cross-functional AI Governance Council activities as requested, providing technical expertise on model risk and data science practices.
• Other duties as assigned

Education/Experience/Skills

• Master’s degree or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative discipline, or equivalent practical experience
• 5+ years of hands‑on experience in applied data science and machine learning, including model development, deployment, and production support
• Advanced proficiency in Python and common ML frameworks and tools such as scikit‑learn, TensorFlow, PyTorch, and SQL
• Practical experience with ML Ops and LLM Ops practices including model registries, version control, evaluation benchmarks, and monitoring
• Experience working with large language models, GenAI technologies, vector databases, or agent frameworks
• Experience operating in a regulated environment and following GxP or similar compliance processes
• Willingness and ability to travel domestically and internationally

Physical Requirements

This role involves regular standing, walking, sitting, and the use of hands for handling or operating equipment. The employee may also need to reach, climb, balance, stoop, kneel, crouch, and maintain visual, verbal, and auditory communication in a standard office environment and while working independently from remote locations. The employee must occasionally lift and/or move up to 20 pounds.  This position requires the ability to travel independently overnight and/or work after hours as required by travel schedules or business needs.

#LI-HYBRID

#LI-CS1

OPEN POSITION ANNOUNCEMENT!

Data Engineer

Open until filled.

Posted 4/29/2026 San Diego County – hybrid work schedule set by SDCP

About the role:  The San Diego Community Power (SDCP) is seeking a seasoned Data Engineer to join our growing team of analytics experts who will be responsible for designing, maintaining, expanding, and optimizing our data infrastructure for data collection, management, transformation, and access. A key priority of this role will be to assist in SDCP’s development of centralizing its data eco-system to allow for creation of pipelines that convert raw data into usable formats for data analysts and other data consumers to utilize. The Data Engineer will handle the core data aspects of software engineering and data science and utilize software engineering principles to develop algorithms that automate the data flow process. They will collaborate with data and system analysts to build machine learning and analytics infrastructure from testing to deployment. 

WHO IS SAN DIEGO COMMUNITY POWER?

San Diego Community Power is a community-driven, not-for-profit public agency providing cleaner energy to the San Diego region. Formed in 2019, Community Power is the second largest Community Choice Aggregator (CCA) in California, serving nearly 1 million customer accounts across its member agencies: the Cities of San Diego, Chula Vista, Encinitas, Imperial Beach, La Mesa and National City, as well as the unincorporated areas of San Diego County.  

OUR HISTORY

San Diego Community Power was formed in 2019 as a public, not-for-profit community choice aggregator (CCA) in the San Diego region. We began electric service in 2021 and serve five member agencies: San Diego, Chula Vista, Encinitas, La Mesa and Imperial Beach, County of San Diego, and National City. SDCP was formed to bring local control and customer choice to San Diego while also providing clean and renewable energy at competitive rates. By the end of 2023, SDCP will provide electricity for nearly half the electric load in San Diego Gas and Electric’s service territory and will be the second largest CCA in California. For more information, please visit SDCommunityPower.org.

COMMITMENT TO DIVERSITY

At SDCP, we value diversity and are committed to creating an inclusive environment for all employees. We represent a diverse customer base and hope to hire employees that reflect our communities. We provide equal employment opportunities to all applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. 

ESSENTIAL DUTIES AND PRIMARY RESPONSIBILITES

• Building and maintaining a centralized cloud-based data infrastructure for optimal extraction, transformation, and loading of data from a wide variety of sources. 
• Assemble large, complex data sets that meet functional/non-functional business requirements. 
• Developing data tools and APIs for data analysis. 
• Deploying and monitoring machine learning algorithms and statistical methods in production environments to solve organizational needs. 
• Ensuring data accessibility and security and implementing company data policies regarding data privacy and confidentiality. 
• Improving data systems reliability, speed, and performance. 
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer trends, operational efficiency, and other key business performance metrics. 
• Collaborating with other internal teams, data analysts, and other stakeholders to understand and optimize how data can be leveraged to meet business needs. 
• Assist in drafting data and analytics’ solicitations and in the selection of consultants. 
• Assist with drafting staff reports and presentations for Board and Committee meetings. 
• Performs other related duties and responsibilities as required. 

MINIMUM KNOWLEDGE, SKILLS, AND ABILITES

• Advance working knowledge of SQL, experience working with relational databases, query authoring (SQL) and working familiarity with various databases. 
• Demonstrated experience in developing API and integrations to support analytics in cloud environment. 
• Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets. 

• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. 
• Strong analytic skills related to working with unstructured datasets. 
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management. 
• A successful history of manipulating, processing, and extracting value from large, disconnected datasets. 
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores. 
• Good understanding of data architecture, data design, data warehousing and data modeling concepts. 
• Strong project management and organizational skills. 
• Experience supporting and working with cross-functional teams in a dynamic environment. 

PREFERRED KNOWLEDGE, SKILLS, AND ABILITES

• Experience in the energy sector and/or supporting the implementation of programs funded by California state agencies (e.g., California Public Utilities Commission, California Energy Commission, California Air Resources Board).
• Ability to strongly represent the organization in various professional engagement settings from local to national convenings (conferences, workshops, executive meetings, etc.).

PREFERRED QUALIFICATIONS, EDUCATION AND EXPERIENCE

Minimum of two (2) to three (3) years of professional experience in a Data Engineer role, preferably in the energy industry with a graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. The candidate should also have experience using the following software/tools:

• Experience with big data tools: Hadoop, Spark, PowerBI, Kafka, etc.
• Experience with AWS, Azure and Google Cloud services.
• Experience with relational SQL and NoSQL databases.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with open-source technologies: Python, Pytorch, Flask, Tensorflow or Keras
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Java, C++ etc.
• Experience with batch, micro-batching and real-time data ingestion methodologies.
• Experience with GitHub or similar code repositories

WORK ENVIROMENT & CONDITIONS

Prolonged periods sitting at a desk and working on a computer. The position requires occasional carrying, lifting and/or moving objects up to 25 pounds. Occasional local travel required and reliable transportation to be able to attend SDCP events, meetings, and workshops as needed is expected. At SDCP we work in the communities we serve and in the office. SDCP works to ensure a safe and healthy workplace for employees and in our communities. SDCP requires employees to be fully vaccinated for COVID-19. SDCP is an agency required to adopt and promulgate a Conflict-of-Interest Code (“COI”). The COI code requires employees in designated positions, including those identified under the interim disclosure process to file a Statement of Economic Interests (Form 700) on an annual basis. A Successful candidate accepting this position may be required to file Conflict of Interest forms subject to the regulations of the Fair Political Practices Commission.

COMPENSATION: 

Salary Range: The position salary range is: $84,900 - $110,400; with exact compensation to be determined by SDCP, depending upon experience. 

Benefits: Standard benefits package including but not limited to:

Insurance: SDCP offers group health benefits, including medical, vision, and dental insurance, for eligible FT employees. Also provided is a $100,000 Life & AD&D policy, STD and LTD coverage that is 100% paid by SDCP.

Retirement: SDCP offers a 457(b) plan for employee contributions and contributes 10% of eligible compensation to the employee’s Money Purchase Plan.

Paid Time Off: 11 holidays per year + paid winter holiday (between 12/24-12/31), 160 hours of accrued paid time off per year (increases with time in service), and 96 hours per year of accrued paid sick leave.

This job description may not be inclusive of all assigned duties, responsibilities, or aspects of the job described, and may be amended at the discretion of SDCP as needed. 

Location: We are actively hiring in the San Diego area.

Who We Are: LINK is a fast-growing Woman Owned Small Business (WOSB) that leverages human-centered design to support strategy, innovation, communication, change, and branding within the federal government and adjacent industry partners. At LINK, we partner with engineers, futurists, and thought leaders to untangle complexity, discover opportunity, and communicate clearly with visual stories. 

Let us be your partners in change.

About the Opportunity:

LINK is actively seeking an Senior Information Designer to join our dynamic team, where we collaborate with clients across a wide range of industries to create impactful visual stories that communicate complex ideas. You will be responsible for translating concepts into compelling visual products, including prototypes, wireframes, infographics, charts, and diagrams, to effectively convey both quantitative data and abstract ideas in print and digital formats.

This is an exciting opportunity for a creative professional to apply human-centered design and design thinking principles to solve complex challenges and deliver visually engaging solutions. You will work closely with both internal teams and clients to understand their needs, develop intuitive information hierarchies, and create designs that support their goals.

Qualifications: 

• Bachelor of Arts in Graphic Design, UX Design, Visual Journalism, Visual Communications, or a related field
• 10+ years of experience in graphic design or a related role
• Strong expertise in information design, with a passion for creating visual stories and working with data to deliver impactful solutions
• Well-versed in a variety of design areas (e.g., experience design, brand development, information design, graphic design) to propose and develop the best solutions for each project
• Highly motivated to solve end-user challenges, meet stakeholder needs, and achieve business goals
• Exceptional organizational skills, able to manage multiple projects simultaneously while maintaining accuracy and attention to detail
• Capable of meeting deadlines and adapting to changing requirements
• Comfortable navigating ambiguity and able to lead clients and teams to clarity around requirements
• A bias towards positivity, openness and supporting others

Responsibilities:

Visual Design and Information Products

• Develop high-quality, visually engaging deliverables such as infographics, charts, diagrams, wireframes, prototypes, dashboards, briefs and presentation visuals
• Translate dense, technical or ambiguous information into structured, accessible and visually compelling formats
• Create visual systems, frameworks, and narratives that support strategy, research and decision making
• Produce materials optimized for both print and digital environments

Human-Centered Design and Problem Solving

• Apply human-centered design principles to every stage of the design process, from understanding user needs to testing visual solutions. 
• Collaborate closely with strategists, researchers, and subject-matter experts to ensure visuals reflect real user needs and client goals
• Iterate rapidly based on stakeholder feedback data insights and testing

Client and Stakeholder Collaboration

• Understand client challenges and translate them into clear, tailored visual artifacts that drive clarity and alignment
• Work with the strategist to engage with client to define goals, clarify requirements, gather inputs and present design solutions
• Work efficiently under tight timelines and shifting priorities
• Support the development of templates, visual standards, and repeatable

Work Schedule:

• Full time, 40 hours per week
• Hybrid, with 2–3 days a week working onsite with the client
• Some travel required to meet with prospects/clients, attend relevant events and conferences, and participate in LINK team events 

Salary: We’re committed to providing competitive compensation, including locality adjustments. The base salary range for this position is $93,000-$126,000. Your final offer will reflect your experience, qualifications, and geographic location.

Benefits:

• $100 monthly internet/cell phone stipend
• LINK sponsored healthcare benefits including medical, dental, vision
• Company-paid Short Term Disability Insurance
• 401K with employer contribution of up to 4%
• 11 Federal Holidays per year 
• 15 days of Paid Time Off (PTO) per year 
• Paid Holiday Time Off (Christmas Eve through the New Year) 
• Annual bonus plan participation
• Annual profit sharing participation
• $2,000 Learning and Development program reimbursement
• Technology package that includes a LINK-owned MacBook Pro, monitor, mouse and keyboard

EOE

What The Role Is

Reporting to the Senior Director, Market Optimization & Trading, the Manager of CRR & FTR Trading is responsible for developing, executing, and optimizing Clearway’s congestion management strategies through active participation in ERCOT and CAISO’s Congestion Revenue Rights (CRR) and Day-Ahead markets and the PJM Financial Transmission Right (FTR). This role focuses on identifying, analyzing, and monetizing congestion opportunities while managing the company’s nodal risk and basis exposure across its generation portfolio.  This role will also be tasked with developing hedging and risk management strategies across other parts of the portfolio. The position requires strong analytical, modeling, risk management, and trading skills to inform commercial decisions and support portfolio optimization within a rapidly expanding renewables platform.

What You'll Be Doing

CRR / FTR Trading & Position Management

• Develop and execute CRR, FTR, and congestion trading strategies to hedge and optimize portfolio congestion risk across ERCOT, CAISO, and PJM.
• Analyze historical and forecasted congestion patterns to identify trading opportunities in monthly and annual CRR auctions.
• Manage portfolio-level exposure to nodal price risk through CRR / FTR acquisitions, sales, and virtual positions.
• Support the Real-Time and Day-Ahead MOT team with congestion insights and locational pricing forecasts.
• Collaborate with Market Fundamentals, Asset Management, and Origination to align CRR strategies with commercial hedging and offtake structures.
• Monitor project-level financial performance tied to congestion costs, basis exposure, and hedge efficiency.
• Maintain dashboards and reporting tools to track CRR positions, portfolio exposure, and P&L attribution.

Analytics & Modeling

• Utilize power flow and production cost modeling software (e.g., Dayzer and PROMOD) to forecast congestion and simulate transmission constraints.
• Coordinate with Fundamentals and Analytics teams to enhance modeling of nodal prices, transmission outages, and topology changes.
• Leverage programming tools such as Python, R, SQL, and Power BI to automate congestion analytics and scenario back-testing.
• Research regulatory filings, transmission plans, and outage schedules to anticipate market shifts.

Market Fundamentals

• Conduct in-depth analysis of ERCOT, PJM, and CAISO’s transmission topology, load growth, and renewable generation trends.
• Monitor weather, outage, and project interconnection developments that impact congestion patterns.
• Communicate congestion forecasts and market insights to internal stakeholders, including senior management and trading desks.

Risk & Energy Market Strategy

• Develop portfolio risk limits and maintain portfolio-level risk metrics accounting for cross-market correlations in energy, congestion, and REC prices.
• Review forward market price volatility curves and correlation assumptions for stochastic risk modeling.
• Facilitate trading strategy performance benchmarking and establishing risk limits.
• Develop and apply portfolio optimization techniques to drive hedge strategy decisions while balancing the risk-adjusted revenue of Clearway’s renewable assets. Hedging strategies include DART optimization, CRR/FTRs, term hedge, and PPA transactions. Perform daily and weekly portfolio assessments to identify opportunities to maximize portfolio profit opportunities and identify risks.

Governance, Compliance & Risk

• Ensure CRR/FTR trading activities comply with corporate and project-level risk policies, market rules, and Market protocols. • Work closely with Risk, Accounting, and Settlements to reconcile positions, P&L, and collateral management.
• Maintain compliance documentation and participate in periodic audits.

Collaboration & Commercial Support

• Partner with Market Fundamentals, Origination, Development, and Asset Management teams to incorporate CRR/FTR and congestion considerations into project siting and contracting decisions.
• Provide market intelligence and due diligence support for M&A transactions, new developments, and repower evaluations.
• May impact departmental budgeting, strategic planning, and procedural change

What You'll Bring

• Bachelor’s degree in Engineering, Economics, Finance, or related field.
• 6-10 years of power market experience, with at least 2+ years directly in CRR, FTR, nodal, or virtual trading.
• Experience using ERCOT and CAISO CRR auction tools, Dayzer, UPLAN, or similar transmission models.
• Prior experience in energy trading, asset optimization, or market analytics required.
• Ability to construct power fundamental models for pricing, load, generation, flow, and outages using various methodologies
• Ability to build Quant Lib utilizing stochastic calculus and Option Models for deal valuation.
• Deep understanding of ERCOT, CAISO, and PJM market design, CRR/FTR auction processes, transmission planning, and nodal pricing. Dayzer experience is required.
• Strong quantitative, analytical, and problem-solving abilities.
• Excellent communication skills to translate technical results into commercial strategy.
• Proficiency with Excel, PowerPoint, and Power BI.
• Familiarity with congestion and risk management strategies for renewable and storage assets.
• Highly proficient in developing predictive models using mathematical and statistical methods to identify, analyze, and mitigate energy market risks with an understanding of option valuation and Greeks.

What Would Be Nice

• Advanced degree preferred
• Advanced skills in Python, R, or SQL strongly preferred
• Familiarity with battery, wind, or solar congestion profiles is a plus.

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

What The Role Is

Reporting to the Senior Director, Market Optimization & Trading, the Manager of CRR & FTR Trading is responsible for developing, executing, and optimizing Clearway’s congestion management strategies through active participation in ERCOT and CAISO’s Congestion Revenue Rights (CRR) and Day-Ahead markets and the PJM Financial Transmission Right (FTR). This role focuses on identifying, analyzing, and monetizing congestion opportunities while managing the company’s nodal risk and basis exposure across its generation portfolio.  This role will also be tasked with developing hedging and risk management strategies across other parts of the portfolio. The position requires strong analytical, modeling, risk management, and trading skills to inform commercial decisions and support portfolio optimization within a rapidly expanding renewables platform.

What You'll Be Doing

CRR / FTR Trading & Position Management

• Develop and execute CRR, FTR, and congestion trading strategies to hedge and optimize portfolio congestion risk across ERCOT, CAISO, and PJM.
• Analyze historical and forecasted congestion patterns to identify trading opportunities in monthly and annual CRR auctions.
• Manage portfolio-level exposure to nodal price risk through CRR / FTR acquisitions, sales, and virtual positions.
• Support the Real-Time and Day-Ahead MOT team with congestion insights and locational pricing forecasts.
• Collaborate with Market Fundamentals, Asset Management, and Origination to align CRR strategies with commercial hedging and offtake structures.
• Monitor project-level financial performance tied to congestion costs, basis exposure, and hedge efficiency.
• Maintain dashboards and reporting tools to track CRR positions, portfolio exposure, and P&L attribution.

Analytics & Modeling

• Utilize power flow and production cost modeling software (e.g., Dayzer and PROMOD) to forecast congestion and simulate transmission constraints.
• Coordinate with Fundamentals and Analytics teams to enhance modeling of nodal prices, transmission outages, and topology changes.
• Leverage programming tools such as Python, R, SQL, and Power BI to automate congestion analytics and scenario back-testing.
• Research regulatory filings, transmission plans, and outage schedules to anticipate market shifts.

Market Fundamentals

• Conduct in-depth analysis of ERCOT, PJM, and CAISO’s transmission topology, load growth, and renewable generation trends.
• Monitor weather, outage, and project interconnection developments that impact congestion patterns.
• Communicate congestion forecasts and market insights to internal stakeholders, including senior management and trading desks.

Risk & Energy Market Strategy

• Develop portfolio risk limits and maintain portfolio-level risk metrics accounting for cross-market correlations in energy, congestion, and REC prices.
• Review forward market price volatility curves and correlation assumptions for stochastic risk modeling.
• Facilitate trading strategy performance benchmarking and establishing risk limits.
• Develop and apply portfolio optimization techniques to drive hedge strategy decisions while balancing the risk-adjusted revenue of Clearway’s renewable assets. Hedging strategies include DART optimization, CRR/FTRs, term hedge, and PPA transactions. Perform daily and weekly portfolio assessments to identify opportunities to maximize portfolio profit opportunities and identify risks.

Governance, Compliance & Risk

• Ensure CRR/FTR trading activities comply with corporate and project-level risk policies, market rules, and Market protocols. • Work closely with Risk, Accounting, and Settlements to reconcile positions, P&L, and collateral management.
• Maintain compliance documentation and participate in periodic audits.

Collaboration & Commercial Support

• Partner with Market Fundamentals, Origination, Development, and Asset Management teams to incorporate CRR/FTR and congestion considerations into project siting and contracting decisions.
• Provide market intelligence and due diligence support for M&A transactions, new developments, and repower evaluations.
• May impact departmental budgeting, strategic planning, and procedural change

What You'll Bring

• Bachelor’s degree in Engineering, Economics, Finance, or related field.
• 6-10 years of power market experience, with at least 2+ years directly in CRR, FTR, nodal, or virtual trading.
• Experience using ERCOT and CAISO CRR auction tools, Dayzer, UPLAN, or similar transmission models.
• Prior experience in energy trading, asset optimization, or market analytics required.
• Ability to construct power fundamental models for pricing, load, generation, flow, and outages using various methodologies
• Ability to build Quant Lib utilizing stochastic calculus and Option Models for deal valuation.
• Deep understanding of ERCOT, CAISO, and PJM market design, CRR/FTR auction processes, transmission planning, and nodal pricing. Dayzer experience is required.
• Strong quantitative, analytical, and problem-solving abilities.
• Excellent communication skills to translate technical results into commercial strategy.
• Proficiency with Excel, PowerPoint, and Power BI.
• Familiarity with congestion and risk management strategies for renewable and storage assets.
• Highly proficient in developing predictive models using mathematical and statistical methods to identify, analyze, and mitigate energy market risks with an understanding of option valuation and Greeks.

What Would Be Nice

• Advanced degree preferred
• Advanced skills in Python, R, or SQL strongly preferred
• Familiarity with battery, wind, or solar congestion profiles is a plus.

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

What The Role Is

Reporting to the Senior Director, Market Optimization & Trading, the Manager of CRR & FTR Trading is responsible for developing, executing, and optimizing Clearway’s congestion management strategies through active participation in ERCOT and CAISO’s Congestion Revenue Rights (CRR) and Day-Ahead markets and the PJM Financial Transmission Right (FTR). This role focuses on identifying, analyzing, and monetizing congestion opportunities while managing the company’s nodal risk and basis exposure across its generation portfolio.  This role will also be tasked with developing hedging and risk management strategies across other parts of the portfolio. The position requires strong analytical, modeling, risk management, and trading skills to inform commercial decisions and support portfolio optimization within a rapidly expanding renewables platform.

What You'll Be Doing

CRR / FTR Trading & Position Management

• Develop and execute CRR, FTR, and congestion trading strategies to hedge and optimize portfolio congestion risk across ERCOT, CAISO, and PJM.
• Analyze historical and forecasted congestion patterns to identify trading opportunities in monthly and annual CRR auctions.
• Manage portfolio-level exposure to nodal price risk through CRR / FTR acquisitions, sales, and virtual positions.
• Support the Real-Time and Day-Ahead MOT team with congestion insights and locational pricing forecasts.
• Collaborate with Market Fundamentals, Asset Management, and Origination to align CRR strategies with commercial hedging and offtake structures.
• Monitor project-level financial performance tied to congestion costs, basis exposure, and hedge efficiency.
• Maintain dashboards and reporting tools to track CRR positions, portfolio exposure, and P&L attribution.

Analytics & Modeling

• Utilize power flow and production cost modeling software (e.g., Dayzer and PROMOD) to forecast congestion and simulate transmission constraints.
• Coordinate with Fundamentals and Analytics teams to enhance modeling of nodal prices, transmission outages, and topology changes.
• Leverage programming tools such as Python, R, SQL, and Power BI to automate congestion analytics and scenario back-testing.
• Research regulatory filings, transmission plans, and outage schedules to anticipate market shifts.

Market Fundamentals

• Conduct in-depth analysis of ERCOT, PJM, and CAISO’s transmission topology, load growth, and renewable generation trends.
• Monitor weather, outage, and project interconnection developments that impact congestion patterns.
• Communicate congestion forecasts and market insights to internal stakeholders, including senior management and trading desks.

Risk & Energy Market Strategy

• Develop portfolio risk limits and maintain portfolio-level risk metrics accounting for cross-market correlations in energy, congestion, and REC prices.
• Review forward market price volatility curves and correlation assumptions for stochastic risk modeling.
• Facilitate trading strategy performance benchmarking and establishing risk limits.
• Develop and apply portfolio optimization techniques to drive hedge strategy decisions while balancing the risk-adjusted revenue of Clearway’s renewable assets. Hedging strategies include DART optimization, CRR/FTRs, term hedge, and PPA transactions. Perform daily and weekly portfolio assessments to identify opportunities to maximize portfolio profit opportunities and identify risks.

Governance, Compliance & Risk

• Ensure CRR/FTR trading activities comply with corporate and project-level risk policies, market rules, and Market protocols. • Work closely with Risk, Accounting, and Settlements to reconcile positions, P&L, and collateral management.
• Maintain compliance documentation and participate in periodic audits.

Collaboration & Commercial Support

• Partner with Market Fundamentals, Origination, Development, and Asset Management teams to incorporate CRR/FTR and congestion considerations into project siting and contracting decisions.
• Provide market intelligence and due diligence support for M&A transactions, new developments, and repower evaluations.
• May impact departmental budgeting, strategic planning, and procedural change

What You'll Bring

• Bachelor’s degree in Engineering, Economics, Finance, or related field.
• 6-10 years of power market experience, with at least 2+ years directly in CRR, FTR, nodal, or virtual trading.
• Experience using ERCOT and CAISO CRR auction tools, Dayzer, UPLAN, or similar transmission models.
• Prior experience in energy trading, asset optimization, or market analytics required.
• Ability to construct power fundamental models for pricing, load, generation, flow, and outages using various methodologies
• Ability to build Quant Lib utilizing stochastic calculus and Option Models for deal valuation.
• Deep understanding of ERCOT, CAISO, and PJM market design, CRR/FTR auction processes, transmission planning, and nodal pricing. Dayzer experience is required.
• Strong quantitative, analytical, and problem-solving abilities.
• Excellent communication skills to translate technical results into commercial strategy.
• Proficiency with Excel, PowerPoint, and Power BI.
• Familiarity with congestion and risk management strategies for renewable and storage assets.
• Highly proficient in developing predictive models using mathematical and statistical methods to identify, analyze, and mitigate energy market risks with an understanding of option valuation and Greeks.

What Would Be Nice

• Advanced degree preferred
• Advanced skills in Python, R, or SQL strongly preferred
• Familiarity with battery, wind, or solar congestion profiles is a plus.

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

What The Role Is

Reporting to the Senior Director, Market Optimization & Trading, the Manager of CRR & FTR Trading is responsible for developing, executing, and optimizing Clearway’s congestion management strategies through active participation in ERCOT and CAISO’s Congestion Revenue Rights (CRR) and Day-Ahead markets and the PJM Financial Transmission Right (FTR). This role focuses on identifying, analyzing, and monetizing congestion opportunities while managing the company’s nodal risk and basis exposure across its generation portfolio.  This role will also be tasked with developing hedging and risk management strategies across other parts of the portfolio. The position requires strong analytical, modeling, risk management, and trading skills to inform commercial decisions and support portfolio optimization within a rapidly expanding renewables platform.

What You'll Be Doing

CRR / FTR Trading & Position Management

• Develop and execute CRR, FTR, and congestion trading strategies to hedge and optimize portfolio congestion risk across ERCOT, CAISO, and PJM.
• Analyze historical and forecasted congestion patterns to identify trading opportunities in monthly and annual CRR auctions.
• Manage portfolio-level exposure to nodal price risk through CRR / FTR acquisitions, sales, and virtual positions.
• Support the Real-Time and Day-Ahead MOT team with congestion insights and locational pricing forecasts.
• Collaborate with Market Fundamentals, Asset Management, and Origination to align CRR strategies with commercial hedging and offtake structures.
• Monitor project-level financial performance tied to congestion costs, basis exposure, and hedge efficiency.
• Maintain dashboards and reporting tools to track CRR positions, portfolio exposure, and P&L attribution.

Analytics & Modeling

• Utilize power flow and production cost modeling software (e.g., Dayzer and PROMOD) to forecast congestion and simulate transmission constraints.
• Coordinate with Fundamentals and Analytics teams to enhance modeling of nodal prices, transmission outages, and topology changes.
• Leverage programming tools such as Python, R, SQL, and Power BI to automate congestion analytics and scenario back-testing.
• Research regulatory filings, transmission plans, and outage schedules to anticipate market shifts.

Market Fundamentals

• Conduct in-depth analysis of ERCOT, PJM, and CAISO’s transmission topology, load growth, and renewable generation trends.
• Monitor weather, outage, and project interconnection developments that impact congestion patterns.
• Communicate congestion forecasts and market insights to internal stakeholders, including senior management and trading desks.

Risk & Energy Market Strategy

• Develop portfolio risk limits and maintain portfolio-level risk metrics accounting for cross-market correlations in energy, congestion, and REC prices.
• Review forward market price volatility curves and correlation assumptions for stochastic risk modeling.
• Facilitate trading strategy performance benchmarking and establishing risk limits.
• Develop and apply portfolio optimization techniques to drive hedge strategy decisions while balancing the risk-adjusted revenue of Clearway’s renewable assets. Hedging strategies include DART optimization, CRR/FTRs, term hedge, and PPA transactions. Perform daily and weekly portfolio assessments to identify opportunities to maximize portfolio profit opportunities and identify risks.

Governance, Compliance & Risk

• Ensure CRR/FTR trading activities comply with corporate and project-level risk policies, market rules, and Market protocols. • Work closely with Risk, Accounting, and Settlements to reconcile positions, P&L, and collateral management.
• Maintain compliance documentation and participate in periodic audits.

Collaboration & Commercial Support

• Partner with Market Fundamentals, Origination, Development, and Asset Management teams to incorporate CRR/FTR and congestion considerations into project siting and contracting decisions.
• Provide market intelligence and due diligence support for M&A transactions, new developments, and repower evaluations.
• May impact departmental budgeting, strategic planning, and procedural change

What You'll Bring

• Bachelor’s degree in Engineering, Economics, Finance, or related field.
• 6-10 years of power market experience, with at least 2+ years directly in CRR, FTR, nodal, or virtual trading.
• Experience using ERCOT and CAISO CRR auction tools, Dayzer, UPLAN, or similar transmission models.
• Prior experience in energy trading, asset optimization, or market analytics required.
• Ability to construct power fundamental models for pricing, load, generation, flow, and outages using various methodologies
• Ability to build Quant Lib utilizing stochastic calculus and Option Models for deal valuation.
• Deep understanding of ERCOT, CAISO, and PJM market design, CRR/FTR auction processes, transmission planning, and nodal pricing. Dayzer experience is required.
• Strong quantitative, analytical, and problem-solving abilities.
• Excellent communication skills to translate technical results into commercial strategy.
• Proficiency with Excel, PowerPoint, and Power BI.
• Familiarity with congestion and risk management strategies for renewable and storage assets.
• Highly proficient in developing predictive models using mathematical and statistical methods to identify, analyze, and mitigate energy market risks with an understanding of option valuation and Greeks.

What Would Be Nice

• Advanced degree preferred
• Advanced skills in Python, R, or SQL strongly preferred
• Familiarity with battery, wind, or solar congestion profiles is a plus.

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

What The Role Is

Reporting to the Senior Director, Market Optimization & Trading, the Manager of CRR & FTR Trading is responsible for developing, executing, and optimizing Clearway’s congestion management strategies through active participation in ERCOT and CAISO’s Congestion Revenue Rights (CRR) and Day-Ahead markets and the PJM Financial Transmission Right (FTR). This role focuses on identifying, analyzing, and monetizing congestion opportunities while managing the company’s nodal risk and basis exposure across its generation portfolio.  This role will also be tasked with developing hedging and risk management strategies across other parts of the portfolio. The position requires strong analytical, modeling, risk management, and trading skills to inform commercial decisions and support portfolio optimization within a rapidly expanding renewables platform.

What You'll Be Doing

CRR / FTR Trading & Position Management

• Develop and execute CRR, FTR, and congestion trading strategies to hedge and optimize portfolio congestion risk across ERCOT, CAISO, and PJM.
• Analyze historical and forecasted congestion patterns to identify trading opportunities in monthly and annual CRR auctions.
• Manage portfolio-level exposure to nodal price risk through CRR / FTR acquisitions, sales, and virtual positions.
• Support the Real-Time and Day-Ahead MOT team with congestion insights and locational pricing forecasts.
• Collaborate with Market Fundamentals, Asset Management, and Origination to align CRR strategies with commercial hedging and offtake structures.
• Monitor project-level financial performance tied to congestion costs, basis exposure, and hedge efficiency.
• Maintain dashboards and reporting tools to track CRR positions, portfolio exposure, and P&L attribution.

Analytics & Modeling

• Utilize power flow and production cost modeling software (e.g., Dayzer and PROMOD) to forecast congestion and simulate transmission constraints.
• Coordinate with Fundamentals and Analytics teams to enhance modeling of nodal prices, transmission outages, and topology changes.
• Leverage programming tools such as Python, R, SQL, and Power BI to automate congestion analytics and scenario back-testing.
• Research regulatory filings, transmission plans, and outage schedules to anticipate market shifts.

Market Fundamentals

• Conduct an in-depth analysis of ERCOT, PJM, and CAISO’s transmission topology, load growth, and renewable generation trends.
• Monitor weather, outage, and project interconnection developments that impact congestion patterns.
• Communicate congestion forecasts and market insights to internal stakeholders, including senior management and trading desks.

Risk & Energy Market Strategy

• Develop portfolio risk limits and maintain portfolio-level risk metrics accounting for cross-market correlations in energy, congestion, and REC prices.
• Review forward market price volatility curves and correlation assumptions for stochastic risk modeling.
• Facilitate trading strategy performance benchmarking and establishing risk limits.
• Develop and apply portfolio optimization techniques to drive hedge strategy decisions while balancing the risk-adjusted revenue of Clearway’s renewable assets. Hedging strategies include DART optimization, CRR/FTRs, term hedge, and PPA transactions. Perform daily and weekly portfolio assessments to identify opportunities to maximize portfolio profit opportunities and identify risks.

Governance, Compliance & Risk

• Ensure CRR/FTR trading activities comply with corporate and project-level risk policies, market rules, and Market protocols. • Work closely with Risk, Accounting, and Settlements to reconcile positions, P&L, and collateral management.
• Maintain compliance documentation and participate in periodic audits.

Collaboration & Commercial Support

• Partner with Market Fundamentals, Origination, Development, and Asset Management teams to incorporate CRR/FTR and congestion considerations into project siting and contracting decisions.
• Provide market intelligence and due diligence support for M&A transactions, new developments, and repower evaluations.
• May impact departmental budgeting, strategic planning, and procedural change

What You'll Bring

• Bachelor’s degree in Engineering, Economics, Finance, or related field.
• 6-10 years of power market experience, with at least 2+ years directly in CRR, FTR, nodal, or virtual trading.
• Experience using ERCOT and CAISO CRR auction tools, Dayzer, UPLAN, or similar transmission models.
• Prior experience in energy trading, asset optimization, or market analytics required.
• Ability to construct power fundamental models for pricing, load, generation, flow, and outages using various methodologies
• Ability to build Quant Lib utilizing stochastic calculus and Option Models for deal valuation.
• Deep understanding of ERCOT, CAISO, and PJM market design, CRR/FTR auction processes, transmission planning, and nodal pricing. Dayzer experience is required.
• Strong quantitative, analytical, and problem-solving abilities.
• Excellent communication skills to translate technical results into commercial strategy.
• Proficiency with Excel, PowerPoint, and Power BI.
• Familiarity with congestion and risk management strategies for renewable and storage assets.
• Highly proficient in developing predictive models using mathematical and statistical methods to identify, analyze, and mitigate energy market risks with an understanding of option valuation and Greeks.

What Would Be Nice

• Advanced degree preferred
• Advanced skills in Python, R, or SQL strongly preferred
• Familiarity with battery, wind, or solar congestion profiles is a plus.

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

Please note that this position is based in San Diego, CA or Princeton, NJ. Acadia's hybrid model requires this role to work in our office three days per week on average.

Position Summary 

Acadia Pharmaceuticals is seeking a seasoned and strategic Health Economics and Outcomes Research (HEOR) leader to serve as Senior Director, HEOR. In this critical role, you will lead the development and execution of comprehensive value evidence strategies that demonstrate the clinical, economic, and humanistic value of Acadia’s therapies across their lifecycle, from development through commercialization and global market access.

As the demand for high quality real world evidence and outcomes research continues to grow, this role will be central to supporting health technology assessments, payer decision making, reimbursement, and product differentiation. You will oversee the generation and dissemination of HEOR evidence, including real world evidence, economic modeling, and clinical outcomes assessments, to support access and adoption across global markets.

The Senior Director, HEOR will be responsible for shaping and communicating the value story for assigned products or indications, leading the development of global value dossiers, economic models, and HTA strategies that clearly articulate the benefit of Acadia’s therapies to patients, healthcare systems, and population health decision makers. This role requires close collaboration with Commercial, Market Access, Clinical Development, Medical Affairs, Regulatory, and other cross functional partners to ensure HEOR strategies are aligned with scientific objectives, business priorities, and regulatory expectations.

The ideal candidate brings deep expertise in outcomes research methodologies, strong scientific and strategic judgment, and the ability to lead complex, cross functional initiatives in a fast paced, global environment. This position offers a unique opportunity to shape evidence strategies that influence access, reimbursement, and ultimately patient outcomes for therapies addressing significant unmet medical needs.

Primary Responsibilities

• Build and implement the strategy for HEOR, including RWE and HTA evidence generation & dissemination within an assigned area for in-line and pipeline assets.
• Lead delivery of value evidence generation strategies throughout the product life cycle.
• Oversee and guide the development and implementation of patient-reported outcomes (PRO) and COA endpoints strategy.
• Ensure the work delivered by HEOR in the assigned area aligns with R&D and corporate goals.
• Represent HEOR on various cross-functional teams in commercial/clinical/medical areas.
• Direct and implement relevant HEOR initiatives with external entities.
• Contribute to the development and execution of overall and HEOR-specific publication plans.
• Establish an integrated HEOR plan aligned with Commercial, Market Access, and Scientific objectives.
• Other duties as assigned.

Education/Experience/Skills

• Master’s degree in public health, economics, epidemiology, health services research or HEOR-related field. 
• Targeting 12 years’ experience in the pharmaceutical or medical device industry; or, a Doctorate in health services research, pharmacy, medicine, public health, economics, and targeting 9 years’ experience in global biopharmaceutical or medical device industry. 
• Experience in outcomes research methodologies (retrospective observational cohort, cross-sectional studies, registries, etc.) to support product development and reimbursement efforts is required. 
•  Must have experience with the execution of scientifically robust qualitative and quantitative studies, development and validation of COA measures, including assisting clinical development teams in implementing COAs in clinical trials to measure patient-relevant endpoints.

Key Skills:

• Understanding of the global healthcare environment, clinical research processes, global regulations, and ethical guidelines.
• Rare disease or CNS experience with interactions with US and ex-US reimbursement agencies is preferred.
• Highly developed communications skills (written/verbal) and interpersonal savvy.
• Proven meeting planning and team facilitation skills.
• Ability to create, track, plan, and communicate project timelines to team members, and maintain budgets.
• Ability to create, track and plan timelines and budgets.
• Ability to support multiple projects while being well-organized, have strong time management skills, and attention to detail.
• Excellent organization and multi-tasking skills.
• Ability to accommodate shifting priorities, demands and timelines.
• Ability to learn, understand and apply new technologies, strategies and approaches that enhance the team’s ability to achieve goals and meet timelines/deliverables.
• Knowledge of regulatory guidance documents and scientific guidelines (FDA guidance; FDA qualification documentation; dossier outline; EMA guidance resources; ISPOR Task Force Documents, etc.).
• Understanding of instrument development and validation process.
• Strong computer skills (Microsoft Office, etc.) and knowledge of database management (Veeva Vault, etc.).
• Must be able and willing to travel (up to approximately 40%) for conferences, meetings, and HEOR project or team-management related business.

Physical Requirements

This role involves regular standing, walking, sitting, and the use of hands for handling or operating equipment. The employee may also need to reach, climb, balance, stoop, kneel, crouch, and maintain visual, verbal, and auditory communication in a standard office environment and while working independently from remote locations. The employee must occasionally lift and/or move up to 20 pounds.  This position requires the ability to travel independently overnight and/or work after hours as required by travel schedules or business needs.

#LI-SW1

#LI-Hybrid

OPEN POSITION ANNOUNCEMENT!

Program Associate 

Open until filled.

Posted 04/23/2026 San Diego County - hybrid work schedule set by Community Power

ABOUT THE ROLE: The Program Associate supports the implementation of a range of customer energy programs, primarily through the San Diego Regional Energy Network (SDREN). This role, under direction and support from senior staff, will assume responsibility for more than one aspect of program development, delivery and management, and contribute to several other aspects including goal setting, budget development/management, process development, program marketing and enrollment, regulatory reporting (if necessary) and stakeholder engagement. The Program Associate may coordinate programmatic activities with consultants and collaborate with internal project teams.  

This role will be reporting to a Senior Program Manager. 

WHO IS COMMUNITY POWER?

Community Power is a community-driven, not-for-profit public agency providing cleaner energy to the San Diego region. Formed in 2019, Community Power is the second largest Community Choice Aggregator (CCA) in California, serving nearly 1 million customer accounts across its member agencies: the Cities of San Diego, Chula Vista, Encinitas, Imperial Beach, La Mesa and National City, as well as the unincorporated areas of San Diego County.  

OUR HISTORY

Community Power was formed in 2019 as a public, not-for-profit community choice aggregator (CCA) in the San Diego region. We began electric service in 2021 and now serve seven member agencies: the Cities of San Diego, Chula Vista, Encinitas, Imperial Beach, La Mesa and National City, as well as the unincorporated communities of San Diego County. Community Power was formed to bring local control and customer choice to San Diego while also providing clean and renewable energy at competitive rates. We are the second largest CCA in California, serving nearly 1 million customers. For more information, please visit SDCommunityPower.org.

COMMITMENT TO DIVERSITY

At Community Power, we value diversity and are committed to creating an inclusive environment for all employees. We represent a diverse customer base and hope to hire employees that reflect our communities. We provide equal employment opportunities to all applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. 

ESSENTIAL DUTIES AND PRIMARY RESPONSIBILITIES

• With oversight from senior staff, develop standard operating procedures, review, process and seek opportunities for efficiencies and improvements. 

• Support senior staff with the coordination, management and implementation of customer-facing programs by working closely with Community Power staff, the Community Advisory Committee, consultants, stakeholders, and other partner agencies.  

• Support senior staff with aspects of project planning and scoping including collaborating on budgeting, procurement, staffing, scheduling and metrics development. 

• Support senior staff with developing and conducting requests for proposals and negotiating, implementing and managing contracts. 

• Coordinate independently with industry, consultants, customers and other stakeholders involved in program delivery and implementation. 

• In coordination with the Public Affairs team, lead aspects of program-related community outreach and education initiatives including making presentations to stakeholders and community groups and coordinating event logistics.  

• Assist in a broad variety of program-related data collection, organization and analysis. Prepare progress reports on a regular basis and clearly communicate updates to senior staff. 

• Work closely with the SDREN team to maintain program management tools and create programmatic tracking reports and dashboards. 

• Monitor program progress in assigned program area(s) relative to goals and make recommendations for improved program delivery. 

• Field inquiries from the public and industry to answer program-specific questions and/or refer to the appropriate staff. 

• Support the drafting of staff reports and presentations for Board of Directors and Community Advisory Committee meetings. 

• Perform other related duties and responsibilities as required. 

KNOWLEDGE, SKILLS, AND ABILITIES

• Experience in or interest in supporting the implementation of programs in one of the following areas: energy efficiency, building decarbonization, demand response, and distributed energy resources (DERs). 

• Strong commitment to sustainability, community energy and mission driven work. 

• Commitment to diversity, equity and inclusion within the organization and in our communities to build program accessibility and participation, including Community Power’s Communities of Concern. 

• Knowledge and understanding of the fundamentals of environmental justice and equity principles. 

• Knowledge and basic understanding of the CCA business model. 

• Establish effective and cooperative working relationships with customers, local businesses, community groups, consultants, interested stakeholders, officials of municipalities, agencies, special districts and other related agencies. 

• Positive, collaborative and supportive team member that is excited to work with diverse teams and communities. 

• Ability to work independently, strong organizational skills and demonstrated goal setting and self-management to support multiple assignments concurrently. 

• Strong work ethic and comfortable taking responsibility, initiative and working in a dynamic, fast spaced, public agency environment. 

• Strong communicator who can write and present compellingly and clearly. 

• Ability to take and provide critical feedback in constructive ways. 

• Strong critical thinking skills including a high tolerance for uncertainty and the ability to identify issues and propose solutions. 

• Ability to act with integrity, professionalism and confidentiality. 

• Ability to comprehend and adhere to Community Power personnel policies. 

• Proficiency with Microsoft Office Suite, Word, Excel and PowerPoint and ability to use virtual meeting applications. 

• Experience with data analysis and data modeling and ability to present it visually. 

• Experience working with office procedures and practices including correspondence etiquette, and operating office equipment, technology and programs. 

• Ability to travel to meetings and community events to meet with residents and stakeholders. Must have access to reliable transportation, and if driving an automobile, a good driving record. Community Power will reimburse mileage expense at the IRS mileage rate. 

Preferred:  

• 2-3 years of experience supporting the implementation of programs in one of the following areas: energy efficiency, building decarbonization, demand response, or distributed energy resources (DERs). 

• 1-2 years of experience at a Regional Energy Network (REN), Community Choice Aggregator (CCA), investor-owned utility, public utility, other public agency or 3rd party program implementer.  

• Proficient in digital tools and systems (i.e., Customer Relationship Management) to manage programs and work with quantitative data. 

• Ability to represent the organization in various professional engagement settings from local to national convenings (conferences, workshops, executive meetings, etc.). 

• Proficient in verbal communication in multiple languages, Spanish and English preferred. 

QUALIFICATIONS, EXPERIENCE, AND ABILITIES

Any combination of education and experience that would provide the knowledge, skills and abilities listed. A typical way to obtain the required qualifications would be:  

A four-year degree or higher from an accredited college or university AND a minimum of two (2) to three (3) years of professional experience. Four (4) additional years of professional experience may be used in place of a degree. A graduate degree may substitute for one year of professional experience. 

WORK ENVIRONMENT AND CONDITIONS

Prolonged periods sitting at a desk and working on a computer. The position requires occasional carrying, lifting and/or moving objects up to 25 pounds. Occasional local travel required and reliable transportation to be able to attend SDCP events, meetings, and workshops as needed is expected. 

At Community Power we work in the communities we serve and in the office. Community Power works to ensure a safe and healthy workplace for employees and in our communities. Community Power requires employees to be fully vaccinated for COVID-19. Exemptions to the vaccine requirement will be considered for individuals with medical conditions that prevent them from being vaccinated and for individuals with sincerely held religious beliefs that prohibit them from being vaccinated, consistent with governing labor laws.

Community Power is an agency required to adopt and promulgate a Conflict-of-Interest Code (“COI”). The COI code requires employees in designated positions, including those identified under the interim disclosure process, to file a Statement of Economic Interests (Form 700) on an annual basis. A Successful candidate accepting this position may be required to file Conflict of Interest forms subject to the regulations of the Fair Political Practices Commission. 

Compensation: 

Salary Range: The position salary range is: $84,900 - $110,400; with exact compensation to be determined by Community Power, depending upon experience. 

Benefits: Standard benefits package including but not limited to:

Insurance: Community Power covers 100% of health benefits, including medical, vision, and dental insurance, for eligible FT employees and their dependents. Also provided is a $100,000 Life & AD&D policy, STD and LTD coverage that is 100% paid by Community Power.

Retirement: Community Power offers a 457(b) plan for employee contributions and contributes 10% of eligible compensation to the employee’s Money Purchase Plan.

Paid Time Off: 11 holidays per year + paid winter holiday (between 12/24-12/31), 160 hours of accrued paid time off per year (increases with time in service), and 96 hours per year of accrued paid sick leave.

This job description may not be inclusive of all assigned duties, responsibilities, or aspects of the job described, and may be amended at the discretion of Community Power as needed. 

STR is hiring experienced Lead Software Engineers to join our multidisciplinary cyber/networking team committed to developing cutting-edge technologies that have an immediate and significant impact on our national security. Our team innovates communications technology across all networking layers, from the physical to the application layer. We value diverse skills, experiences, and perspectives, which are vital to delivering innovative solutions to our customers. If you have a strong track record of delivering impactful software solutions and meet the qualifications below, we encourage you to apply! 

Job Overview: 

A successful candidate will possess several years of practical experience in software engineering, integration and testing, and networking concepts and protocols. They will demonstrate a proven ability to take ownership of technical challenges and deliver results in collaborative, fast-paced environments. The ideal candidate will bring a deep understanding of computer science concepts, sound software engineering principles, and hands-on experience working on Linux systems. Experienced engineers at STR are expected to work independently while contributing meaningfully to team efforts and mentoring less experienced team members. 

This is an exciting opportunity to work in a high-profile, fast paced yet structured development environment alongside a diverse and talented team. In this role, you will take a leadership role in designing, implementing, and testing software that enhances advanced real-time data communications and networking solutions using open systems principles. We aim for the highest standards of quality, maintainability, and reuse in our tools and techniques.  Therefore, candidates should have a demonstrated ability to produce well-designed, scalable solutions and to establish and follow reliable testing methodologies. 

What you will do: 

• Collaborate closely with a small, dedicated research team to develop innovative solutions to complex problems
• Take ownership of significant features or components of projects and deliver them with minimal supervision
• Lead technical discussions, guide architectural decisions, and mentor junior engineers   
• Develop and test novel software solutions spanning research, development, and deployed production systems   
• Analyze and improve existing designs and processes to optimize performance 
• Deliver high-quality software in a rapid-paced, research-focused team environment 
• Develop operational prototypes for experimentation and performance analysis   
• Create customer-facing operational systems, ensuring they meet high reliability and usability standards   

Who you are: 

• This position requires the ability to obtain a Top Secret (TS) security clearance, for which U.S. citizenship is required by the U.S. Government   
• 7+ years of experience in relevant software engineering roles   
• Proficient in Python, C, C++, or similar interpreted or low-level programming languages   
• Experienced with designing and implementing open architectures and rapid prototyping methodologies   
• Strong working knowledge of software testing, evaluation best practices, and industry-standard development lifecycles   
• Significant hands-on experience developing software with GNU/Linux toolchains using open-source software   
• Deep understanding of networking principles, including the 5-layer OSI networking stack   
• Strong team player with excellent communication skills, both verbal and written   
• Bachelor's (or higher) degree in Computer Science, Electrical & Computer Engineering, Applied Mathematics, or a related field, with at least 7 years of relevant experience or equivalent expertise gained through prior roles  

Nice to Have: 

• Active Top Secret (TS) Security Clearance   
• Advanced experience in Python, MATLAB, and/or other high-level programming languages  
• Proven ability to build, deploy, and maintain production-ready software systems  
• Experience writing software in a multi-party, large-scale codebase 
• Demonstrated success managing technical challenges in experimental/laboratory environments, including performing quantitative analysis   
• Familiarity with multi-threaded or multi-core real-time operating concepts   
• Knowledge of high-level software architecture design and scalability principles   
• Demonstrated leadership abilities, including mentoring junior staff and contributing to team efficiency 

Pay Information
Full-Time Salary Range: $157,000 - $224,000

The salary range listed is based on external market data. Final offers are based on factors, such as but not limited to, the candidate’s experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.

STR is hiring experienced Lead Software Engineers to join our multidisciplinary cyber/networking team committed to developing cutting-edge technologies that have an immediate and significant impact on our national security. Our team innovates communications technology across all networking layers, from the physical to the application layer. We value diverse skills, experiences, and perspectives, which are vital to delivering innovative solutions to our customers. If you have a strong track record of delivering impactful software solutions and meet the qualifications below, we encourage you to apply! 

Job Overview: 

A successful candidate will possess several years of practical experience in software engineering, integration and testing, and networking concepts and protocols. They will demonstrate a proven ability to take ownership of technical challenges and deliver results in collaborative, fast-paced environments. The ideal candidate will bring a deep understanding of computer science concepts, sound software engineering principles, and hands-on experience working on Linux systems. Experienced engineers at STR are expected to work independently while contributing meaningfully to team efforts and mentoring less experienced team members. 

This is an exciting opportunity to work in a high-profile, fast paced yet structured development environment alongside a diverse and talented team. In this role, you will take a leadership role in designing, implementing, and testing software that enhances advanced real-time data communications and networking solutions using open systems principles. We aim for the highest standards of quality, maintainability, and reuse in our tools and techniques.  Therefore, candidates should have a demonstrated ability to produce well-designed, scalable solutions and to establish and follow reliable testing methodologies. 

What you will do: 

• Collaborate closely with a small, dedicated research team to develop innovative solutions to complex problems
• Take ownership of significant features or components of projects and deliver them with minimal supervision
• Lead technical discussions, guide architectural decisions, and mentor junior engineers   
• Develop and test novel software solutions spanning research, development, and deployed production systems   
• Analyze and improve existing designs and processes to optimize performance 
• Deliver high-quality software in a rapid-paced, research-focused team environment 
• Develop operational prototypes for experimentation and performance analysis   
• Create customer-facing operational systems, ensuring they meet high reliability and usability standards   

Who you are: 

• This position requires the ability to obtain a Top Secret (TS) security clearance, for which U.S. citizenship is required by the U.S. Government   
• 7+ years of experience in relevant software engineering roles   
• Proficient in Python, C, C++, or similar interpreted or low-level programming languages   
• Experienced with designing and implementing open architectures and rapid prototyping methodologies   
• Strong working knowledge of software testing, evaluation best practices, and industry-standard development lifecycles   
• Significant hands-on experience developing software with GNU/Linux toolchains using open-source software   
• Deep understanding of networking principles, including the 5-layer OSI networking stack   
• Strong team player with excellent communication skills, both verbal and written   
• Bachelor's (or higher) degree in Computer Science, Electrical & Computer Engineering, Applied Mathematics, or a related field, with at least 7 years of relevant experience or equivalent expertise gained through prior roles  

Nice to Have: 

• Active Top Secret (TS) Security Clearance   
• Advanced experience in Python, MATLAB, and/or other high-level programming languages  
• Proven ability to build, deploy, and maintain production-ready software systems  
• Experience writing software in a multi-party, large-scale codebase 
• Demonstrated success managing technical challenges in experimental/laboratory environments, including performing quantitative analysis   
• Familiarity with multi-threaded or multi-core real-time operating concepts   
• Knowledge of high-level software architecture design and scalability principles   
• Demonstrated leadership abilities, including mentoring junior staff and contributing to team efficiency 

Pay Information
Full-Time Salary Range: $157,000 - $224,000

The salary range listed is based on external market data. Final offers are based on factors, such as but not limited to, the candidate’s experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.

Position Overview

As a strategist at Webstacks, you will both collaborate on and lead a diverse range of website projects with B2B tech clients ranging from newly-funded startups to international enterprises. From initial discovery through successful launch, you will work closely with our lead strategist, project managers, designers, and developers to plan and execute the best websites in high-growth tech. You will be instrumental in guiding the strategic direction of projects, ensuring that they align with client objectives and end-user priorities. You love working with both people and data to understand how businesses operate, what they’re trying to accomplish, and how their web presence can help them get there. You have deep experience with websites and digital marketing; you may have started as an SME or a digital generalist, but today you have a good balance in your understanding of technical functionality and content-driven user experience. Most importantly, you value working in an ego-free environment with a team of SMEs who love to learn, experiment, and grow together.

Details of the role

• Type of Work: Full-time
• Location: United States (ideally in San Diego, California!) 
• Salary: $70,000 - $90,000

High-Level Responsibilities

• Work closely with our lead strategist to build a robust, high-functioning strategy department serving both website projects and retainers.
• Own project strategy for assigned clients, ensuring strategic alignment with client goals and project scope while cultivating strong partnerships with clients.
• Create project plans designed around client business goals based on qualitative and quantitative data as well as input from other team SMEs; provide timely strategic input to design, development, and project management.
• Identify opportunities and keep track of potential post-launch scope to pave the way for a seamless transition into retainer projects.
• Take part in cross-functional efforts to define the strategy services we offer and how we deliver them.
• Uphold high standards of quality, ensuring both creative and technical outputs meet or exceed client expectations and industry best practices.

The Day to Day

• Hold in-depth stakeholder interviews with client leadership to identify business goals and constraints as well as end-user priorities to plan for a seamless visitor-centric web experience.
• Conduct detailed website performance, content, and competitor research to produce insightful, actionable recommendations and polished client-facing reports.
• Work closely with clients to define information architecture and user journeys using tools like ScreamingFrog, Google Analytics, Hotjar, Slickplan, and Figma.
• Flag potential issues with project managers, collaborate with design and dev teams, communicate with clients, and step in when needed to help keep things moving on projects.

Experience & Qualifications

• 3+ years of experience in defining website strategies, preferably for a wide range of web project including full-scale redesigns, tech stack migrations, and bespoke web solutions.
• Strong understanding of web principles, methodologies, and software; a personal interest in staying up to date on the latest tools and techniques in web design, UI/UX, and related disciplines.
• Demonstrated ability in strategic planning, analytical thinking, and problem-solving; experience making strategic decisions and maintaining project momentum with variable resources in high-stress situations involving multiple stakeholders.
• Excellent interpersonal and communication skills, with a proven track record of building cross-functional partnerships to drive project success.
• Self-motivated attitude with the a to thrive in a dynamic environment, adapting to real-time changes in project scopes, processes, and resource allocations.

The best parts of this job

• You’re in control of your schedule. At Webstacks, we recognize you’re human. Meet your deadlines, ensure your talented team and your clients are equipped to succeed, and be prepared for your meetings. You are not destined for a desk 9-5… all we ask is that you produce, develop, and succeed!
• Culture. Culture. Culture. Ego? At Webstacks, we’ve never heard of it! We are all on the same mission: progress both as a cohesive unit as a company and have a true desire to see the best in our teammates both personally and professionally.
• Live and breathe on the cutting edge. At Webstacks, you have the opportunity to work daily with some of the best minds in the tech space. You’ll be at the cutting edge of website development and design, working with the fastest-growing site building frameworks and design tools on the market.

The worst parts of this job

• Wearing many hats is challenging. As a strategist, you are at the epicenter of website projects at Webstacks. Many other team members will rely on your input to do their best work, and you’ll be handling multiple projects while helping to optimize our workflows. You’ll want to be the type of person who thrives under pressure and can balance competing priorities.
• You’ll have to be the “big shoulders.” Strategists are often in the position of fielding client needs and requests, sometimes with incomplete information or an emotional point of contact. We also advocate for the clients with our internal teams, which can involve pushing back or finding creative solutions. It’s our job to protect our process and the team’s bandwidth as well as deliver an elite customer experience.
• Delivering difficult news. On the team, we empathize deeply with our customers. It’s what makes delivering those moments of delight so delightful. At the same time, we sometimes have to convey difficult news that something isn’t possible or supported at this time, and it can be challenging to disappoint our eager, loyal, and thriving customer base.

Benefits and Perks

• Unlimited vacation policy
• Health, dental, and vision insurance
• Matched 401(k)
• Macbook
• Constant growth and learning opportunities
• Work-life balance
• An energetic, motivating and fun culture that we can't wait for you to be apart of!

DESCRIPTION

We are looking for a Staff Product Manager, Hardware to help us deliver groundbreaking hardware products that our customers will love. The Staff Product Manager will be a driving force in delivering an unmatched product experience in close collaboration with a global, cross-functional team. 

What you will do:

• Product Ownership: take ownership of a hardware product to maximize company impact and customer satisfaction by solving customer and business pain points
• Storytelling: Craft a unique product story rooted in deep customer insights.
• Problem Solving: Proactively identify and resolve product-related issues throughout the product lifecycle.
• Market & User Research: conduct market research, competitive analysis, and qualitative and quantitative user studies
• Requirements Management: Write and manage product requirements (PRD), regularly assess progress, and facilitate timely decision making
• Product Development Lifecycle: Support the entire product lifecycle from concept to end of life, working closely with engineering and design teams to ensure timely and high-quality execution
• Prioritization: prioritize features, options, and product improvements - balancing cost, timeline, and experience tradeoffs
• Communication: Effectively communicate priorities, plans, progress, and challenges to stakeholders across the organization. Maintain clear, organized communication.
• Collaboration: Work closely with a diverse, talented team of designers, engineers, scientists, marketers, and analysts to create incredible products. Partner closely with software product management counterparts. 
• Roadmap support: contribute to the vision, strategy, and roadmap for Oura’s hardware product portfolio, including next-generation products.
• Go-to-market: Support go-to-market readiness by developing compelling positioning and pricing and overseeing overall product readiness.

This is a hybrid US role based in San Diego or San Francisco. Willingness and ability to work 1-3 days a week in office. 

REQUIREMENTS 

We would love to have you on our team if you have: 

• 10+ years of experience in product management with a proven track record of delivering products with high business impact and outstanding customer satisfaction.
• A deep understanding of hardware development, including design phases, manufacturing, materials, compliance, and quality.
• Experience with connected electronics including connectivity, compute, battery, firmware, and software features.
• Successfully taken new and/or existing hardware products from concept to commercial launch with minimal supervision.
• Ability to combine consumer, technology, and business insights into a simple narrative (with data to back it up) that excites both internal and external audiences.
• Ability to quickly analyze and come up with creative solutions to challenging problems under pressure and with extreme constraints.
• Unmatched ability to get things done, move mountains, roll up your sleeves, and unblock tricky situations with empathy, intelligence, and drive.
• Excellent written and presentation skills that create clear thinking, high-quality discussions, and effective decision-making among large groups.
• Unrelenting optimism that drives people and projects forward, mixed with genuine kindness and thoughtfulness.
• A natural tendency to do something as well as it can possibly be done, try new things, and learn quickly from failed experiments.

Bonus Qualifications 

• Wearables expertise
• Health sensing experience 
• Track record managing multiple projects simultaneously

BENEFITS

At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health.

What we offer:

• Competitive salary and equity packages
• Health, dental, vision insurance, and mental health resources
• An Oura Ring of your own plus employee discounts for friends & family
• 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
• Paid sick leave and parental leave

Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.

• Region 1: $198,050 - $233,000
• Region 2 $180,200 - $212,000
• Region 3 $169,150- $199,000

A recruiter can determine your zones/tiers based on your US location.

We are not considering candidates residing in the following states: Alaska (AK), Arkansas (AR), Delaware (DE), Iowa (IA), Mississippi (MS), Nebraska (NE), Oklahoma (OK), Rhode Island (RI), South Dakota (SD), Vermont (VT), West Virginia (WV), and Wisconsin (WI).

What You Will Contribute To Altos

As part of our team, you will help to accelerate and optimize our progress in developing unified, multi-modal generative foundation models for multiscale biology. You will be an integral part of our multidisciplinary teams building the computational platforms that will enable Altos to achieve its mission.

In this role, you will partner and collaborate with other multidisciplinary Scientists and Engineers across the Institute of Computation to design, build, and scale state-of-the-art foundation models that tackle biological questions and aid in the discovery of novel interventions for aging and disease. You will focus on the synthesis of unstructured multimodal signals with the structured relational data and knowledge graphs that represent biological reality.

The successful candidate will thrive in a fast-paced environment that stresses teamwork, transparency, scientific excellence, originality, and integrity.

Responsibilities

As a Staff Machine Learning Scientist, you will use your experience to focus on designing, developing, and evaluating state-of-the-art foundation models, at scale, to benefit the research.

• Pre-train and fine-tune large-scale machine learning systems using multimodal biological data, natural language, and structured relational inputs.   
• Architect and implement novel hybrid models that integrate Large Language Models (LLMs) with Graph Neural Networks (GNNs) for multi-hop reasoning over biological knowledge graphs .
• Develop Relational Foundation Models (RFMs) that enable zero-shot predictive tasks over heterogeneous, multi-table biological datasets.   
• Lead the design of efficient data loading strategies and distributed training recipes (e.g., FSDP, DeepSpeed) to train models across multiple GPU nodes.   
• Gain insights into model performance based on theory, deep research, and the mathematical underpinnings of set-invariant and graph-structured architectures .
• Apply strong coding experience to model development and deployment, ensuring research prototypes transition into reliable, scalable production systems.
• Stay up-to-date on the latest developments in deep learning—including native early-fusion and Mixture-of-Experts (MoE) architectures—and apply this knowledge to Altos' research .
• Mentor junior staff while maintaining a high individual technical contribution to the core research ecosystem and peer-reviewed publications.

Who You Are  

We are looking for someone who is:

• Excited about the Altos mission of restoring cell health and resilience to reverse disease, injury, and age-related disabilities.
• Highly collaborative in mindset and ways of working across research and engineering boundaries.
• Self-motivated to drive and deliver on long-term technical projects and scientific goals.
• Demonstrates the desire to grow professionally and expand their skillset in biology, machine learning, and/or drug development.
• Able to communicate and explain the design, results, and impact of complex AI architectures to both scientific and non-scientific staff.
• Keen to contribute to seminars and scientific initiatives within Altos and the broader AI research community.

Minimum Qualifications

• PhD in Computer Science, Machine Learning, or a similar quantitative field with 5+ years of relevant work experience in academic or industry settings.
• Prior experience in developing and implementing novel generative AI models, specifically in multimodal integration, GraphRAG, or relational deep learning .
• Deep understanding of Machine Learning principles and how they apply to diverse architectures like Transformers, GNNs, and diffusion models .
• Very strong programming skills in Python and deep learning libraries (e.g., PyTorch, JAX, Hugging Face Transformers/Accelerate).   
• Proven experience with multi-GPU and distributed training at scale (e.g., DDP, FSDP, DeepSpeed, Megatron, or Ray).   
• Strong track record of published, peer-reviewed innovative AI/ML research at top-tier conferences (NeurIPS, ICML, ICLR, CVPR).

Preferred Qualifications

• Familiarity with tabular foundation models (e.g., TabPFN) and in-context learning strategies for structured data .
• Specific experience in native multimodal modeling (early-fusion) or the synthesis of LLMs and Knowledge Graphs .
• Track record of ML applied to biological data, such as NGS data (RNA-seq, ATAC-seq), biological imaging (microscopy, IF), or spatial transcriptomics.
• Experience in optimizing large-scale inference via quantization, distillation, or memory-efficient attention mechanisms.

The salary range for Redwood City, CA:

• Scientist I, Machine Learning: $200,900 - $257,500
• Scientist II, Machine Learning: $226,200 - $290,000
• Senior Scientist I, Machine Learning: $257,400 - $330,000

The salary range for San Diego, CA:

• Scientist I, Machine Learning: $179,400 - $230,000
• Scientist II, Machine Learning: $212,900 - $273,000
• Senior Scientist I, Machine Learning: $239,500 - $307,000

Exact compensation may vary based on skills, experience, and location.

#LI-NN1

For UK applicants, before submitting your application:

- Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice)
- This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.

What You Will Contribute To Altos

Altos Labs is building a world-class AI ecosystem to solve the most complex problems in human biology. You will directly design and build high-performance, scalable solutions that unify high-dimensional biomedical imaging with molecular and language data.

By implementing large-scale multimodal data fusion, you will move beyond simple image analysis to create predictive models that map across biological domains. You will be hands-on with the data and the code, collaborating with our engineering team to ensure these models are scalable, efficiently trainable on distributed cloud infrastructure, and accessible to our global research community.

Responsibilities

• Model Development: Design, code, and train large-scale foundation models (e.g., Vision Transformers, Multimodal LLMs) that can embed spatial data and integrate multiple modalities.
• Hands-on Data Fusion: Implement innovative cross-domain mapping and fusion strategies to synchronize heterogeneous biological datasets.
• Scaling & Training: Build and manage high-performance ML pipelines capable of processing petabyte-scale image repositories and multi-omics streams in a cloud environment.
• Technical Collaboration: Work directly in the trenches with experimental scientists and software engineers to translate biological complexity into performant code and reliable distributed systems.

Who You Are

We are looking for a technical specialist who thrives on solving "unsolvable" problems through code and rigorous experimentation. We are open to candidates at the Scientist I, Scientist II, or Senior Scientist level based on technical expertise.

Minimum Qualifications

• Education: PhD in Computer Science, AI/ML, Biomedical Engineering, or a related quantitative field.
• Hands-on CV Expertise: Deep experience building and deploying modern Computer Vision architectures (Vision Transformers, U-Nets, Self-Supervised Learning).
• Distributed Training: Proven experience training and fine-tuning large models at scale using frameworks like PyTorch Distributed, DeepSpeed, or Jax.
• Programming Mastery: Expert-level Python skills, with a focus on building production-ready machine learning code and large-scale data management systems.
• Scientific Contributions: A track record of technical contributions via high-impact publications (CVPR, ICCV, NeurIPS, etc.) or significant contributions to open-source ML frameworks.

Preferred Qualifications

• Direct experience with Multimodal Fusion (e.g., aligning image embeddings with transcriptomic or proteomic data).
• Proficiency with cloud-native AI tools (AWS/GCP, Kubernetes, Docker) and building automated MLOps workflows.
• Experience handling the unique noise and sparsity of biological data.

The salary range for Redwood City, CA:

• Scientist I, Machine Learning: $200,900 - $257,500
• Scientist II, Machine Learning: $226,200 - $290,000
• Senior Scientist I, Machine Learning: $257,400 - $330,000

The salary range for San Diego, CA:

• Scientist I, Machine Learning: $179,400 - $230,000
• Scientist II, Machine Learning: $212,900 - $273,000
• Senior Scientist I, Machine Learning: $239,500 - $307,000

#LI-NN1

Exact compensation may vary based on skills, experience, and location.

For UK applicants, before submitting your application:

- Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice)
- This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.

What You Will Contribute To Altos

As a Senior or Principal Machine Learning Scientist, you will play a prominent role in developing generative AI/ML models for multi-modal, multiscale biology from virtual cells to agentic target assessment.  We are looking for a hands-on, creative, and collaborative individual to join our multidisciplinary team of scientists and engineers focused on transforming how we treat aging and disease. The successful candidate will thrive in a fast-paced environment that emphasizes teamwork, transparency, scientific excellence, originality, rigor, and integrity.

Responsibilities

• Pioneer novel machine learning methodologies and statistical frameworks (e.g., generative models, causal inference, diffusion models, and advanced transformer architectures) to address fundamental challenges in cell health and rejuvenation
• Contribute to setting the long-term technical vision and research strategy for a core domain (e.g., multi-modal data fusion, perturbation modeling) within the Institute of Computation
• Translate your deep understanding of the mathematical and theoretical underpinnings of cutting-edge AI research into high-impact applications
• Design, implement, and optimize large-scale machine learning systems using modern frameworks (e.g., PyTorch, JAX) and  agile practices
• Develop and manage efficient distributed training strategies across multiple GPUs and compute clusters to handle terabytes of multi-modal biological data
• Develop robust approaches for multi-modal data integration and cross-domain mapping to extract actionable biological insights
• Apply computational thinking to solve problems in drug target identification, compound assessment, and prediction of cellular perturbation responses
• Lead the full ML development lifecycle from theoretical conception and data strategy through model development, training, and evaluation
• Act as a key technical mentor to Machine Learning Scientists and Engineers, raising the bar for scientific rigor and model robustness across the organization.

Who You Are

• Proven track record leveraging machine learning to solve real-world problems;
• Expertise in one or more of the following: generative models, language models, computer vision, bayesian inference, causal reasoning & inference, transfer & multi-task learning, diffusion models, graph neural networks, active learning, cooperative agents
• Experience writing production-quality code with modern machine learning frameworks such as PyTorch, TensorFlow, JAX, or similar
• Experience with multi-GPU and distributed training at scale
• A team player who thrives in collaborative environments and is committed to enabling colleagues to reach their full potential through giving and requesting feedback focussed on professional growth
• Able to advise others across the wider function / company on cutting edge practices and approaches to enable the science / research. Desire to constantly expand your skillset and knowledge. Keen to learn more about biology, computational science, and medicine;
• Inspired by the Altos mission of restoring cell health and resilience to reverse disease, injury, and age-related disabilities.

Minimum Qualifications

• Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or a related quantitative field, demonstrating a deep theoretical foundation in ML/AI.
• 6+ years of of relevant post-PhD work experience in either an academic or industry setting
• Proven experience developing and applying complex machine learning models, preferably with a significant portion of that time spent in a fast-paced industry or translational research environment.
• A strong track record of leading and publishing innovative, peer-reviewed research in top-tier ML conferences (e.g., NeurIPS, ICML, ICLR) or high-impact scientific journals.
• Excellent scientific communication skills: verbally and in writing; with computational and non-computational audiences, in informal 1-1 settings, team meetings, and formal seminars
• Expertise in several of the following: deep learning, reinforcement learning, generative models, language models, computer vision, Bayesian inference, causal reasoning & inference, transfer & multi-task learning, graph neural networks, active learning, hybrid mechanistic/ML models
• Proven experience applying sophisticated ML techniques to molecular and cell biological data sets (e.g., NGS, spatial omics, bioimaging).

Preferred Qualifications

• Experience in cell health and rejuvenation related research area
• Experience in the application of machine learning methods to biological data
• Experience in computational approaches to drug discovery
• Experience with software development methodologies and open-source software

The salary range for Redwood City, CA:

• Senior Scientist I, Machine Learning: $257,400 - $330,000
• Senior Scientist II, Machine Learning: $290,900 - $373,000
• Principal Scientist, Machine Learning: $330,800 - $424,100

The salary range for San Diego, CA:

• Senior Scientist I, Machine Learning: $239,500 - $307,000
• Senior Scientist II, Machine Learning: $262,100 - $336,000
• Principal Scientist, Machine Learning: $312,100 - $400,100

Exact compensation may vary based on skills, experience, and location.

Before submitting your application:

- Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice)
- This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.

#LI-NN1

What You Will Contribute To Altos

As a Senior or Principal Machine Learning Scientist, you will play a prominent role in developing generative AI/ML models for multi-modal, multiscale biology from virtual cells to agentic target assessment.  We are looking for a hands-on, creative, and collaborative individual to join our multidisciplinary team of scientists and engineers focused on transforming how we treat aging and disease. The successful candidate will thrive in a fast-paced environment that emphasises teamwork, transparency, scientific excellence, originality, rigor, and integrity.

Responsibilities

• Pioneer novel machine learning methodologies and statistical frameworks (e.g., generative models, causal inference, diffusion models, and advanced transformer architectures) to address fundamental challenges in cell health and rejuvenation
• Contribute to setting the long-term technical vision and research strategy for a core domain (e.g., multi-modal data fusion, perturbation modeling) within the Institute of Computation
• Translate your deep understanding of the mathematical and theoretical underpinnings of cutting-edge AI research into high-impact applications
• Design, implement, and optimize large-scale machine learning systems using modern frameworks (e.g., PyTorch, JAX) and  agile practices
• Develop and manage efficient distributed training strategies across multiple GPUs and compute clusters to handle terabytes of multi-modal biological data
• Develop robust approaches for multi-modal data integration and cross-domain mapping to extract actionable biological insights
• Apply computational thinking to solve problems in drug target identification, compound assessment, and prediction of cellular perturbation responses
• Lead the full ML development lifecycle from theoretical conception and data strategy through model development, training, and evaluation
• Act as a key technical mentor to Machine Learning Scientists and Engineers, raising the bar for scientific rigor and model robustness across the organization.

Who You Are

• Proven track record leveraging machine learning to solve real-world problems;
• Expertise in one or more of the following: generative models, language models, computer vision, bayesian inference, causal reasoning & inference, transfer & multi-task learning, diffusion models, graph neural networks, active learning, cooperative agents
• Experience writing production-quality code with modern machine learning frameworks such as PyTorch, TensorFlow, JAX, or similar
• Experience with multi-GPU and distributed training at scale
• A team player who thrives in collaborative environments and is committed to enabling colleagues to reach their full potential through giving and requesting feedback focussed on professional growth
• Able to advise others across the wider function / company on cutting edge practices and approaches to enable the science / research. Desire to constantly expand your skillset and knowledge. Keen to learn more about biology, computational science, and medicine;
• Inspired by the Altos mission of restoring cell health and resilience to reverse disease, injury, and age-related disabilities.

Minimum Qualifications

• Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or a related quantitative field, demonstrating a deep theoretical foundation in ML/AI.
• 6+ years of of relevant post-PhD work experience in either an academic or industry setting
• Proven experience developing and applying complex machine learning models, preferably with a significant portion of that time spent in a fast-paced industry or translational research environment.
• A strong track record of leading and publishing innovative, peer-reviewed research in top-tier ML conferences (e.g., NeurIPS, ICML, ICLR) or high-impact scientific journals.
• Excellent scientific communication skills: verbally and in writing; with computational and non-computational audiences, in informal 1-1 settings, team meetings, and formal seminars
• Expertise in several of the following: deep learning, reinforcement learning, generative models, language models, computer vision, Bayesian inference, causal reasoning & inference, transfer & multi-task learning, graph neural networks, active learning, hybrid mechanistic/ML models
• Proven experience applying sophisticated ML techniques to molecular and cell biological data sets (e.g., NGS, spatial omics, bioimaging).

Preferred Qualifications

• Experience in cell health and rejuvenation related research area
• Experience in the application of machine learning methods to biological data
• Experience in computational approaches to drug discovery
• Experience with software development methodologies and open-source software

The salary range for Cambridge, UK:

• Senior Scientist I, Machine Learning: £115,600 - £152,100
• Senior Scientist II, Machine Learning: £131,900 - £173,500
• Principal Scientist, Machine Learning: £173,700 - £228,600

Exact compensation may vary based on skills, experience, and location.

Before submitting your application:

- Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice)
- This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.

#LI-NN1

What You Will Contribute to Altos

This is an opportunity to join the state-of-the-art Virtual Cell team that recently won the Generalist prize in the ARC Virtual Cell Challenge. Here you will help to accelerate and optimize our progress in developing multi-modal generative foundation models for multiscale biology. 

In this role, you will be an integral part of our multidisciplinary teams enabling Altos to achieve its mission. You will partner and collaborate with other Machine Learning Scientists and Engineers, as well as other computational scientists and biologists, across the Institute of Computation to contribute to the Altos research and translation ecosystem. This role is focused on improving our state-of-the-art “virtual cell” models, encompassing gene and protein modeling, imaging, and other modalities to aid in the discovery of novel interventions for aging and disease. 

The successful candidate will thrive in a fast-paced environment that emphasises/emphasizes *please spell differently for UK/US teamwork, transparency, scientific excellence, originality, and integrity.

Responsibilities

• Use your experience to focus on designing, developing and evaluating state of the art foundation and focused models, at scale, to advance the Altos mission
• Pre-train and fine-tune large-scale machine learning systems using multimodal biological data and prior knowledge inputs.
• Pioneer novel machine learning methodologies and statistical frameworks (e.g., generative models,  diffusion/flow matching models, and advanced transformer architectures) to address fundamental challenges in cell health and rejuvenation
• Design, implement, and optimize large-scale machine learning systems using modern frameworks (e.g., PyTorch, JAX), AI-assisted coding, and agile practices
• Develop and manage efficient distributed training strategies across multiple GPUs and compute clusters to handle terabytes of multi-modal biological data
• Develop robust approaches for multi-modal data integration and cross-domain mapping to extract actionable biological insights
• Participate in the full ML development lifecycle from theoretical conception and data strategy through model development, training, and evaluation

Who You Are

• Inspired by the Altos mission of restoring cell health and resilience to reverse disease, injury, and age-related disabilities
• Highly collaborative in mindset and ways of working
• Self-motivated to drive and deliver on projects and goals
• Focused on professional growth and expanding you skillset and knowledge
• Able to communicate and explain the design, results, conclusions and the impact of their work to both scientific and nonscientific staff.
• Able to stay up-to-date on the latest developments in deep learning and apply knowledge to their work.
• Keen to take the opportunity to contribute to seminars and other scientific initiatives within Altos and the broader scientific community.

Minimum Qualifications

• Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or a related quantitative field, demonstrating a deep theoretical foundation in ML/AI.
• Relevant work experience in either an academic or industry setting.
• Prior experience in developing and implementing novel generative AI models in a subset of the following: transformers, multi-modality, diffusion/flow matching models.
• Can demonstrate a deep understanding and expertise of Machine Learning Principles and how they apply to different models  
• Proven experience developing and applying complex machine learning models, preferably with a significant portion of that time spent in a fast-paced industry or translational research environment.
• Very strong programming skills, including experience with Python and deep learning libraries (PyTorch, Hugging Face Transformers, H-F Datasets, H-F Accelerate)
• Experience writing production-quality code with modern machine learning frameworks such as PyTorch, TensorFlow, JAX, or similar;
• Experience with multi-GPU and distributed training at scale;

Preferred Qualifications

• Strong track record of published peer reviewed innovative AI/ML research 
• Experience in cell health and rejuvenation related research area
• Experience in the application of machine learning methods to biological data
• Experience in computational approaches to drug discovery
• Experience with software development methodologies and open-source software

The salary range for Cambridge, UK:

• Scientist I, Machine Learning: £74,900 - £98,500
• Scientist II, Machine Learning: £107,900 - £142,000
• Senior Scientist I, Machine Learning: £115,600 - £152,100

Exact compensation may vary based on skills, experience, and location.

Before submitting your application:

- Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice)
- This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.

#LI-NN1

What You Will Contribute To Altos

This is an opportunity to join the state-of-the-art Virtual Cell team that recently won the Generalist prize in the ARC Virtual Cell Challenge. Here you will help to accelerate and optimize our progress in developing multi-modal generative foundation models for multiscale biology. 

In this role, you will be an integral part of our multidisciplinary teams enabling Altos to achieve its mission. You will partner and collaborate with other Machine Learning Scientists and Engineers, as well as other computational scientists and biologists, across the Institute of Computation to contribute to the Altos research and translation ecosystem. This role is focused on improving our state-of-the-art “virtual cell” models, encompassing gene and protein modeling, imaging, and other modalities to aid in the discovery of novel interventions for aging and disease. 

The successful candidate will thrive in a fast-paced environment that emphasises/emphasizes *please spell differently for UK/US teamwork, transparency, scientific excellence, originality, and integrity.

Responsibilities

• Use your experience to focus on designing, developing and evaluating state of the art foundation and focused models, at scale, to advance the Altos mission
• Pre-train and fine-tune large-scale machine learning systems using multimodal biological data and prior knowledge inputs.
• Pioneer novel machine learning methodologies and statistical frameworks (e.g., generative models,  diffusion/flow matching models, and advanced transformer architectures) to address fundamental challenges in cell health and rejuvenation
• Design, implement, and optimize large-scale machine learning systems using modern frameworks (e.g., PyTorch, JAX), AI-assisted coding, and agile practices
• Develop and manage efficient distributed training strategies across multiple GPUs and compute clusters to handle terabytes of multi-modal biological data
• Develop robust approaches for multi-modal data integration and cross-domain mapping to extract actionable biological insights
• Participate in the full ML development lifecycle from theoretical conception and data strategy through model development, training, and evaluation

Who You Are

• Inspired by the Altos mission of restoring cell health and resilience to reverse disease, injury, and age-related disabilities
• Highly collaborative in mindset and ways of working
• Self-motivated to drive and deliver on projects and goals
• Focused on professional growth and expanding you skillset and knowledge
• Able to communicate and explain the design, results, conclusions and the impact of their work to both scientific and nonscientific staff.
• Able to stay up-to-date on the latest developments in deep learning and apply knowledge to their work.
• Keen to take the opportunity to contribute to seminars and other scientific initiatives within Altos and the broader scientific community.

Minimum Qualifications

• Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or a related quantitative field, demonstrating a deep theoretical foundation in ML/AI.
• Relevant work experience in either an academic or industry setting.
• Prior experience in developing and implementing novel generative AI models in a subset of the following: transformers, multi-modality, diffusion/flow matching models.
• Can demonstrate a deep understanding and expertise of Machine Learning Principles and how they apply to different models  
• Proven experience developing and applying complex machine learning models, preferably with a significant portion of that time spent in a fast-paced industry or translational research environment.
• Very strong programming skills, including experience with Python and deep learning libraries (PyTorch, Hugging Face Transformers, H-F Datasets, H-F Accelerate)
• Experience writing production-quality code with modern machine learning frameworks such as PyTorch, TensorFlow, JAX, or similar;
• Experience with multi-GPU and distributed training at scale;

Preferred Qualifications

• Strong track record of published peer reviewed innovative AI/ML research 
• Experience in cell health and rejuvenation related research area
• Experience in the application of machine learning methods to biological data
• Experience in computational approaches to drug discovery
• Experience with software development methodologies and open-source softwar

The salary range for Redwood City, CA:

• Scientist I, Machine Learning: $200,900 - $257,500
• Scientist II, Machine Learning: $226,200 - $290,000
• Senior Scientist I, Machine Learning: $257,400 - $330,000

The salary range for San Diego, CA:

• Scientist I, Machine Learning: $179,400 - $230,000
• Scientist II, Machine Learning: $212,900 - $273,000
• Senior Scientist I, Machine Learning: $239,500 - $307,000

Exact compensation may vary based on skills, experience, and location.

Before submitting your application:

- Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice)
- This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.

#LI-NN1

Senior Scientist Biophysics

About the Role

We are seeking an experienced, self-starter, and highly motivated Biophysics Senior Scientists to join our San Diego team to deliver high-quality results and drive small molecule drug discovery. In this role, you will be a key contributor to our small‑molecule discovery engine, designing and executing biophysical strategies that identify high‑quality hits, elucidate mechanisms of action, and accelerate lead optimization. You will work at the center of multidisciplinary project teams, partnering closely with chemistry, biology, and lead discovery to advance programs toward development candidates. The successful candidate will propose, design, and implement new biophysical assays and hit ID approaches (ie. SPR, MST, DSF, NMR), characterize protein-small molecule and protein-protein interactions, and uncover mechanistic insights of our drug discovery targets and lead molecules. You will provide expert interpretation of biophysical results and use data analysis and visualization tools to integrate data with the broader set of data generated at Treeline to drive program decisions.

Responsibilities

• Propose, design, develop, and execute biophysical assays to support hit identification, hit-to-lead, and lead optimization activities.
• Establish robust SPR assays for small‑molecule interaction analysis, including hit triage, affinity/kinetic characterization, and mechanism-of-action studies.
• Efficiently utilize a suite of biophysical techniques to advance drug discovery: primarily SPR but also including DSF, DLS, and others through in-house and CRO capabilities.
• Employ biophysical methods to mechanistically deconvolute the molecular mechanism of action of small molecule hits.
• Effectively analyze, interpret, and communicate biophysical data as a subject matter expert and biophysics representative on project teams.
• In collaboration with chemistry, biology, lead discovery, and medicine design, characterize and establish SAR to rapidly drive the hit-to-lead process.
• Propose and evaluate new approaches and technologies.
• Provide scientific leadership, mentorship, and cross-functional partnership within a dynamic matrixed environment.

Required Qualifications

• PhD in Biophysics, Biochemistry, Chemistry, Chemical Biology or related discipline with 2-3 years of relevant postdoctoral training.
• 4+ years of biotech/pharma experience with a demonstrated impact in hit identification, hit-to-lead, and lead optimization for small-molecule programs.
• Expertise in quantitative biophysical assay development, especially SPR for small‑molecule drug discovery. Hands-on experience characterizing protein–ligand interactions, including affinity, kinetics, stoichiometry, and mechanism.
• Strong theoretical and practical knowledge of an array of biophysical methods with proven hands-on expertise applying biophysics for interaction analysis. Expertise with MST/SS, DSF, MS, or NMR are a plus.
• Demonstrated ability to troubleshoot complex assays, work with challenging proteins, and deliver high‑quality, reproducible data.
• Excellent communication, data visualization, and interpersonal skills, with a track record of effective collaboration on multidisciplinary teams.

Preferred Qualifications

• Ability to lead in a matrix environment, and for example, act as point of contact on project teams.
• Experience with fragment-based lead discovery, covalent lead discovery, and DEL are a plus.
• Strong hands-on biochemistry experience or expertise in enzymology.
• Working knowledge of adjacent disciplines (biochemistry, structural biology, protein purification, biology, chemistry).
• Experience in working with challenging proteins.
• Experience working with CROs.

This position is classified as exempt. The anticipated annual base salary range for candidates who will work in San Diego is $151,694 to $174,363. The final base salary offered to the successful candidate will be dependent upon several factors that may include but are not limited to the type and length of experience within the job, education, and other factors. Treeline Biosciences is a multi-state employer, and this salary range may not reflect positions that work in other cities or states.

Recruitment fraud statement

Please be aware of recruitment fraud and related job scams, where scammers present themselves as recruiters but are seeking to steal money or personal information. Keep the following in mind to protect yourself:

• Treeline Biosciences will never ask for money from you as part of our recruitment process. Do not provide bank details or pay somebody for the promise of a job at Treeline.
• We do not conduct interviews through RingCentral, Skype or Telegram. 
• Our job openings are first posted to treeline.bio/careers. If you locate a listing for a Treeline job on another site, please ensure it is also posted on our careers website.
• You can find more information about job scams at consumer.ftc.gov/articles/job-scams.
• To report job scams, head to ReportFraud.ftc.gov.

Position Overview

As a strategist at Webstacks, you will both collaborate on and lead a diverse range of website projects with B2B tech clients ranging from newly-funded startups to international enterprises. From initial discovery through successful launch, you will work closely with our lead strategist, project managers, designers, and developers to plan and execute the best websites in high-growth tech. You will be instrumental in guiding the strategic direction of projects, ensuring that they align with client objectives and end-user priorities. You love working with both people and data to understand how businesses operate, what they’re trying to accomplish, and how their web presence can help them get there. You have deep experience with websites and digital marketing; you may have started as an SME or a digital generalist, but today you have a good balance in your understanding of technical functionality and content-driven user experience. Most importantly, you value working in an ego-free environment with a team of SMEs who love to learn, experiment, and grow together.

Details of the role

• Type of Work: Contractor, 30-40 hrs/week
• Location: South America
• Hours: 9-5 pm PST

High-Level Responsibilities

• Work closely with our lead strategist to build a robust, high-functioning strategy department serving both website projects and retainers.
• Own project strategy for assigned clients, ensuring strategic alignment with client goals and project scope while cultivating strong partnerships with clients.
• Create project plans designed around client business goals based on qualitative and quantitative data as well as input from other team SMEs; provide timely strategic input to design, development, and project management.
• Identify opportunities and keep track of potential post-launch scope to pave the way for a seamless transition into retainer projects.
• Take part in cross-functional efforts to define the strategy services we offer and how we deliver them.
• Uphold high standards of quality, ensuring both creative and technical outputs meet or exceed client expectations and industry best practices.

The Day to Day

• Hold in-depth stakeholder interviews with client leadership to identify business goals and constraints as well as end-user priorities to plan for a seamless visitor-centric web experience.
• Conduct detailed website performance, content, and competitor research to produce insightful, actionable recommendations and polished client-facing reports.
• Work closely with clients to define information architecture and user journeys using tools like ScreamingFrog, Google Analytics, Hotjar, Slickplan, and Figma.
• Flag potential issues with project managers, collaborate with design and dev teams, communicate with clients, and step in when needed to help keep things moving on projects.

Experience & Qualifications

• 3+ years of experience in defining website strategies, preferably for a wide range of web project including full-scale redesigns, tech stack migrations, and bespoke web solutions.
• Strong understanding of web principles, methodologies, and software; a personal interest in staying up to date on the latest tools and techniques in web design, UI/UX, and related disciplines.
• Demonstrated ability in strategic planning, analytical thinking, and problem-solving; experience making strategic decisions and maintaining project momentum with variable resources in high-stress situations involving multiple stakeholders.
• Excellent interpersonal and communication skills, with a proven track record of building cross-functional partnerships to drive project success.
• Self-motivated attitude with the a to thrive in a dynamic environment, adapting to real-time changes in project scopes, processes, and resource allocations.

The best parts of this job

• You’re in control of your schedule. At Webstacks, we recognize you’re human. Meet your deadlines, ensure your talented team and your clients are equipped to succeed, and be prepared for your meetings. You are not destined for a desk 9-5… all we ask is that you produce, develop, and succeed!
• Culture. Culture. Culture. Ego? At Webstacks, we’ve never heard of it! We are all on the same mission: progress both as a cohesive unit as a company and have a true desire to see the best in our teammates both personally and professionally.
• Live and breathe on the cutting edge. At Webstacks, you have the opportunity to work daily with some of the best minds in the tech space. You’ll be at the cutting edge of website development and design, working with the fastest-growing site building frameworks and design tools on the market.

The worst parts of this job

• Wearing many hats is challenging. As a strategist, you are at the epicenter of website projects at Webstacks. Many other team members will rely on your input to do their best work, and you’ll be handling multiple projects while helping to optimize our workflows. You’ll want to be the type of person who thrives under pressure and can balance competing priorities.
• You’ll have to be the “big shoulders.” Strategists are often in the position of fielding client needs and requests, sometimes with incomplete information or an emotional point of contact. We also advocate for the clients with our internal teams, which can involve pushing back or finding creative solutions. It’s our job to protect our process and the team’s bandwidth as well as deliver an elite customer experience.
• Delivering difficult news. On the team, we empathize deeply with our customers. It’s what makes delivering those moments of delight so delightful. At the same time, we sometimes have to convey difficult news that something isn’t possible or supported at this time, and it can be challenging to disappoint our eager, loyal, and thriving customer base.

Benefits and Perks

• Unlimited vacation policy
• Health, dental, and vision insurance
• Matched 401(k)
• Macbook
• Constant growth and learning opportunities
• Work-life balance
• An energetic, motivating and fun culture that we can't wait for you to be apart of!