Senior Data Scientist
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Company: Norstella
Location: United States
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Description
Why Norstella? Norstella unites market-leading companies that all have a shared goal of improving patient access. Each organization (Evaluate, MMIT, Panalgo, Citeline and The Dedham Group) delivers must-have answers for critical strategic and commercial decision-making.
Together, we help our clients:
- Assess the market need and competitive landscape
- Know precisely which drugs to prioritize in their portfolios
- Find out where the launch difficulties will be—before they’re difficulties
- Track and improve market access post-launch
By combining the efforts of each organization under Norstella, we can offer an even wider breadth of expertise, cutting-edge data solutions and expert advisory services alongside advanced technologies such as real-world data, machine learning and predictive analytics. At Norstella, we don’t just deliver information and insights. We deliver answers you can act on.
The Team:
Our dedicated Data Science team is at the forefront of revolutionizing pharma intelligence and how patients gain access to life-saving therapies. Armed with cutting-edge technology and a passion for innovation, we leverage the vast landscape of data to extract actionable insights that drive informed decision making.
Our unique collaborative approach fosters a dynamic synergy between data science and product development. Our deep expertise in machine learning, artificial intelligence, advanced statistical modelling, and big data, combined with our domain knowledge, enables us to deliver comprehensive solutions that empower our clients to stay ahead in a rapidly evolving industry.
The Role:
In this role as a Senior Data Scientist, you will:
- Collaborate with product partners and other scientists to identity new opportunities to apply AI / ML to our content and products
- Conduct research and identify AI / ML algorithms and methods to solve specific business problems, and deliver these algorithms as microservices in collaboration with content and product engineering teams
- Contributes towards the common data science platform
- Stay up-to-date, constantly learning about advances in the field, and deliver periodic presentations to internal teams on these developments
Requirements:
- 5+ years of experience developing AI / ML applications and data driven solutions
- Graduate degree in Computer Science, Engineering, Statistics or a related quantitative discipline, or equivalent work experience
- Substantial depth and breadth in NLP, Deep Learning, Generative AI and other state of the art AI / ML techniques
- Deep understanding of CS fundamentals, computational complexity and algorithm design
- Experience with building large-scale distributed systems in an agile environment and the ability to build quick prototypes
- Excellent knowledge of high-level programming languages (Python, Java, or C++) and core data science libraries including Pandas, NumPy and other similar libraries
- Ability to independently conduct research and independently develop appropriate algorithmic solutions to complex business problems
- Experience mentoring junior team members
- Excellent problem solving and communication skills
Preferred Qualifications:
- PhD in Computer Science with an AI / ML research focus and publications in top-tier journals and conferences.
- Knowledge of the healthcare domain and experience with applying AI to healthcare data
- Experience with AWS especially in relation to ML workflows with SageMaker, serverless compute and storage such as S3 and Snowflake
- Experience with LLMs, prompt engineering, retrieval augmented generation, model fine tuning and knowledge graphs
The Guiding Principles for success at Norstella:
01: Bold, Passionate, Mission-First
We have a lofty mission to Smooth Access to Life Saving Therapies and we will get there by being bold and passionate about the mission and our clients. Our clients and the mission in what we are trying to accomplish must be in the forefront of our minds in everything we do.
02: Integrity, Truth, Reality
We make promises that we can keep, and goals that push us to new heights. Our integrity offers us the opportunity to learn and improve by being honest about what works and what doesn’t. By being true to the data and producing realistic metrics, we are able to create plans and resources to achieve our goals.
03: Kindness, Empathy, Grace
We will empathize with everyone's situation, provide positive and constructive feedback with kindness, and accept opportunities for improvement with grace and gratitude. We use this principle across the organization to collaborate and build lines of open communication.
04: Resilience, Mettle, Perseverance
We will persevere – even in difficult and challenging situations. Our ability to recover from missteps and failures in a positive way will help us to be successful in our mission.
05: Humility, Gratitude, Learning
We will be true learners by showing humility and gratitude in our work. We recognize that the smartest person in the room is the one who is always listening, learning, and willing to shift their thinking.
Benefits:
- Medical and prescription drug benefits
- Health savings accounts or flexible spending accounts
- Dental plans and vision benefits
- Basic life and AD&D Benefits
- 401k retirement plan
- Short- and Long-Term Disability
- Maternity leave
- Paid parental leave
- Open Vacation Policy
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.
The expected base salary for this position ranges from $160,000 to $200,000. 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.
MMIT is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, color, nationality, ethnic or national origin, religion or belief, disability or age. Our ethos is to respect and value people’s differences, to help everyone achieve more at work as well as in their personal lives so that they feel proud of the part they play in our success. We believe that all decisions about people at work should be based on the individual’s abilities, skills, performance and behavior and our business requirements. MMIT operates a zero tolerance policy to any form of discrimination, abuse or harassment.
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.
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