Senior Data Scientist NLP, Deep Learning, Generative AI

Senior Data Scientist (NLP, Deep Learning, Generative AI)

Company: Norstella

Location: Remote, United States

Date Posted: Nov 8, 2024

Employment Type: Full Time

Job ID: R-671

Description

At Norstella, our mission is simple: to help our clients bring life-saving therapies to market quicker-and help patients in need.

Founded in 2022, but with history going back to 1939, Norstella unites best-in-class brands to help clients navigate the complexities at each step of the drug development life cycle -and get the right treatments to the right patients at the right time.

Each organization (Citeline, Evaluate, MMIT, Panalgo, The Dedham Group) delivers must-have answers for critical strategic and commercial decision-making. Together, via our market-leading brands, we help our clients:

Citeline - accelerate the drug development cycle

Evaluate - bring the right drugs to market

MMIT - identify barrier to patient access

Panalgo - turn data into insight faster

The Dedham Group - think strategically for specialty therapeutics

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. As one of the largest global pharma intelligence solution providers, Norstella has a footprint across the globe with teams of experts delivering world class solutions in the USA, UK, The Netherlands, Japan, China and India.

Job description

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:

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

Responsibilities:





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

Our Guiding Principles 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

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

Education benefits

Paid parental leave

Paid time off

The expected base salary for this position ranges from $170,000 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.

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.

All legitimate roles with Norstella will be posted on Norstella's job board which is located at norstella. com/careers. If a role is not posted on this job board, a candidate should assume the role is not a legitimate role with Norstella. Norstella is not responsible for an application that may be submitted by or through a third-party and candidates should proceed with extreme caution if a third-party approaches them about an open role with Norstella. Norstella will never ask for anything of value or any type of payment during or as part of any recruitment, interview, or pre-hire onboarding process. If you are aware of or have reason to believe a job posting purportedly for a role with Norstella is fraudulent or otherwise not authorized by Norstella, please contact the Company using the following email address: [email protected] .

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 pregn.