Sr. Solutions Lead/Solutions Lead, Content Operations

Norstella; United States; Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

Medical and Prescription Drug Benefits

Health Savings Accounts

Dental & Vision Benefits

401k Retirement Plan

Paid Parental Leave

Job summary

Norstella is seeking a Solutions Lead to shape AI solution evaluation for life sciences clients. You will define frameworks, scoring standards, and validation methods that ensure outputs are credible, reproducible, and fit for purpose.

Collaborating across content operations, product, data science, and services, you will translate eval results into client value, develop repeatable playbooks, and help scale the portfolio.

Qualifications

• Minimum Undergraduate (Bachelor’s) degree preferably in life sciences, medical sciences, computer science, statistics, or a related field.
• 3+ years of experience in a solutions, strategy, consulting, data science, or product commercialization role, ideally within pharma, life sciences, or health data.
• Demonstrable experience working across the full solution lifecycle from identifying a client need through to post-delivery adoption in cross-functional environments.

Responsibilities

• Define operational readiness and quality criteria for new and evolving data products, validating outputs meet standard regulated life sciences clients expect.
• Develop and maintain deep knowledge of Norstella’s underlying data assets, pipelines, and product architecture with backend fluency.
• Support design of technically complex solutions spanning data integration, analytics workflows, and AI-powered capabilities.
• Design and run evaluations that demonstrate model accuracy, reliability, and fitness-for-purpose across data products and AI solutions.
• Collaborate with product and commercial teams to support GTM for new solutions, translating eval outcomes into evidence, reference materials, and use-case documentation.
• Assess complex client opportunities end-to-end: qualifying fit, framing solutions, and articulating a clear value proposition.
• Develop repeatable playbooks and solution templates to scale impact and maintain consistency as the product portfolio grows.
• Act as a point of accountability for quality through to delivery and ensure solutions land as evaluated.

Skills

Evidence-driven

Evaluation methodologies

Cross-functional

Commercial instinct

Education

Bachelor's degree in life sciences, medical sciences, computer science, statistics, or related field

Tools

Python

Job description

Description

Norstella is a premier and critical global life sciences data and AI solutions provider dedicated to improving patient access to life-saving therapies. Norstella supports pharmaceutical and biotech companies across the full drug development lifecycle — from pipeline to patient. Our mission is simple: to help our clients bring therapies to market faster and more efficiently, ultimately impacting patient lives.

Description

Norstella is a premier and critical global life sciences data and AI solutions provider dedicated to improving patient access to life-saving therapies. Norstella supports pharmaceutical and biotech companies across the full drug development lifecycle — from pipeline to patient. Our mission is simple: to help our clients bring therapies to market faster and more efficiently, ultimately impacting patient lives.

• Accelerate the drug development cycle
• Assess competition and bring the right drugs to market
• Make data driven commercial and financial decisions
• Match and recruit patients for clinical trials
• Identify and address barriers to therapies

Job Description

We are seeking a Solutions Lead who will support Norstella’s approach to AI solution development and evaluation, building the frameworks, methodologies, and scoring standards that determine whether our AI solutions are accurate, reliable, and fit for purpose in the hands of life sciences clients. Working cross-functionally across content authoring, product, commercial, data science, data engineering, and services, you will serve as the authoritative voice on what good looks like, and ensure that every evaluation Norstella publishes, internally or externally is defensible, reproducible, and credible. This role sits within Content Operations and is the connective tissue between what our models and products can do and what the market will trust, with a growing client-facing presence over time. We welcome candidates who bring strong domain and methodological depth, as well as those who combine that expertise with hands‑on technical skills in evaluation automation and backend development.

Responsibilities

• Work with teams to define operational readiness and quality criteria for new and evolving data products, validating that outputs meet the standard regulated life sciences clients expect at each stage of the data product lifecycle.
• Develop and maintain deep, working knowledge of Norstella’s underlying data assets, pipelines, and product architecture the backend fluency required to evaluate outputs with credibility.
• Support the design of technically complex solutions spanning data integration, analytics workflows, and AI-powered capabilities, working alongside data science and engineering teams to validate solution architecture and ensure delivery feasibility before client commitments are made.
• Support Norstella’s evaluation methodology end-to-end, designing and running assessments that demonstrate model accuracy, reliability, and fitness-for-purpose across data products and AI-powered solutions.
• Collaborate with product and commercial teams to support the GTM process for new solutions, translating eval outcomes into proof points, reference materials, and use-case documentation that reflect genuine domain depth.
• Assess complex client opportunities end-to-end: qualifying fit, framing solutions, and articulating a clear value proposition to both technical and commercial audiences.
• Develop repeatable playbooks and solution templates that allow the team to scale its impact and maintain consistency as the product portfolio grows.
• Act as a point of accountability for quality through to delivery, staying engaged to ensure solutions land as evaluated and committed.

Skills/Qualities

• A rigorous, evidence-driven thinker who holds the line on quality and is as comfortable flagging model limitations as championing model strengths.
• Familiarity with AI product development and evaluation methodologies — including scoring frameworks, and statistical approaches to measuring performance.
• Comfortable operating across technical and commercial conversations, adapting fluency without losing substance.
• Strong commercial instinct, able to translate eval outcomes into a value proposition a client or internal audience will trust.
• A clear communicator who builds credibility across functions through substance, not just style.
• Organised and structured, with the ability to manage multiple workstreams and maintain rigour under pressure.

Qualifications

• Minimum Undergraduate (Bachelor’s) degree preferably in life sciences, medical sciences, computer science, statistics, or a related field.
• 3+ years of experience in a solutions, strategy, consulting, data science, or product commercialization role, ideally within pharma, life sciences, or health data.
• Demonstrable experience working across the full solution lifecycle from identifying a client need through to post-delivery adoption in cross-functional environments.
• Familiarity with the pharmaceutical commercial landscape, including drug development and launch dynamics, market access, regulatory pathways, or related domains.
• A strong track record of aligning stakeholders across functions
• Ability to be flexible and manage multiple priorities in a fast‑paced environment.
• Willingness to work collaboratively in a hybrid/virtual environment across several time zones.

Preferred Qualifications

• Advanced degree (PhD or MBA) in a relevant field.
• Experience developing, evaluating, deploying, and monitoring algorithms and models from proof-of-concept through production, in a reproducible and auditable manner.
• Experience working with or alongside AI/data science and data engineering teams on production‑grade systems.
• Experience in a platform or SaaS business, particularly one with both data and analytics products.
• Ability to write and maintain code in Python or a similar language — particularly for eval automation, scripting evaluation pipelines, or building tooling that supports repeatable and scalable assessment workflows.
• Familiarity with software engineering best practices relevant to eval infrastructure, such as version control, testing frameworks, CI/CD pipelines, or experiment tracking tools (e.g. MLflow, Weights & Biases).

Our Guiding Principles for success at Norstella:

01: Bold, Passionate, and Mission-First

02: Integrity, Truth, and Reality

03: Kindness, Empathy, and Grace

04: Resilience, Mettle, and Perseverance

05: Humility, Gratitude, and Learning

Please Note - All candidates must be authorized to work in the United States. We do not provide visa sponsorship or transfers. We are not currently accepting candidates who are on an OPT visa.

Benefits

• Medical and Prescription Drug Benefits
• Health Savings Accounts (HSA) or Flexible Spending Accounts (FSA)
• Dental & Vision Benefits
• Basic Life and AD&D Benefits
• 401k Retirement Plan with Company Match
• Company Paid Short & Long-Term Disability
• Paid Parental Leave
• Paid Time Off & Company Holidays

The expected base salary for this position ranges from $110,000 to $150,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus.

Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law.

Sometimes the best opportunities are hidden by self-doubt. We disqualify ourselves before we have the opportunity to be considered. Regardless of where you came from, how you identify, or the path that led you here- you are welcome. If you read this job description and feel passion and excitement, we’re just as excited about you.