Machine Learning Research Engineer

Key Skills

Advanced Analytics, Analytical and Problem solving, Data Analysis, Deep Learning, Forecasting, Gradient Boosting trees, Keras software library, matplotlib, Natural Language Processing (NLP), NumPy, Pandas, Python Programming, PyTorch, Random forests, Regression Analysis, Scikit-learn, SQL, Statistical modeling, TensorFlow, Time series

Job Description

Saama develops life science solutions that accelerate clinical and commercial development. Today, more than 50 biotech companies—including many of the top 20 pharmaceutical companies—use Saama’s award-winning Life Science Analytics Cloud (LSAC) platform to accelerate more than 1,500 studies, including the clinical trial that led to the world’s first COVID-19 vaccine. LSAC’s rich applications facilitate unprecedented and authoritative oversight and automation of comprehensive clinical research data, enabling companies to file New Drug Applications (NDAs) more efficiently and bring treatments to patients sooner. If you're passionate about solving complex problems with machine learning and have experience working with structured data, we'd love to hear from you!

Impact on the business:

At Saama, our business is delivering solutions with world-class talent and services with the most consultant satisfaction.

Key relationships:

• All project team members onsite in the USA and globally
• Product teams
• Engineering Teams
• Operations support teams
• Client Relationships

What We Value

• Integrity: doing the right thing
• Solutions: solving core, complex business challenges
• Collaboration: working as one team
• Innovation: changing the game
• Transparency: communicating openly
• Enjoy & Celebrate: having fun

Competencies:

• Results-oriented and a self-starter who enjoys a challenge and needs minimal support and direction.
• Takes initiative; challenges status quo
• Learns quickly; takes smart risks & experiments.
• Consulting skills; identifies key requirements in dynamic environments.
• Positive Attitude, Communication & Influence skills. Able to communicate effectively and credibly with clients, and other team members. Effective in both written and spoken communication.
• Stays the course despite challenges & setbacks

What You’ll Do

• Work with cross-functional teams to gather and analyze data requirements
• Develop and implement machine learning models for structured data
• Perform data pre-processing, feature engineering, and model selection
• Evaluate and improve model performance using various metrics
• Collaborate with software engineers to integrate machine learning models into production systems
• Monitor and maintain machine learning models in a production environment
• Keep up-to-date with the latest advancements in machine learning and AI
• Author and publish the novelty of the works accomplished in peer reviewed journals and conferences.

Knowledge, Skills & Abilities

• Experience in NLP and any of the deep learning frameworks such as TensorFlow, Keras, PyTorch, etc
• Proficiency with modern statistical modeling (regression, boosting trees, random forests, etc.) including classification, regression, and clustering models
• Strong experience in Python and its libraries for data analysis and machine learning (such as NumPy, Pandas, Scikit-learn, etc.)
• Data Analysis Libraries: Pandas, PySpark, Numpy, Matplotlib
• Advanced analytical skills, including time-series forecasting
• Knowledge of SQL and working with relational databases
• Strong problem-solving and analytical skills
• Excellent communication skills and the ability to work in a team environment

Education and Work Experience

• Bachelor's or Master's degree or Phd in Computer Science, Mathematics, or a related field
• 3+ years of experience in building and deploying machine learning models for structured data

Plus to have

• Prior experience in working with synthetic data
• Research and publication experience

LSAC provides customers with the ability to leverage advances in technology, AI, and precision medicine to connect, contextualize, and analytically converse with all their drug development data assets. It accelerates time to market and positively impacts patient lives. The combination of Saama’s AI research, advanced technical & analytics capabilities, domain expertise across the drug development life cycle, and successful product co-development approach has made Saama a trusted partner and thought leader in the life sciences industry. Saama is committed to finding the best people because the innovations and discoveries that enabled together leads to better technologies, better treatments, and a better future

Work Environment

• This job operates in a professional remote office environment. This role routinely uses standard office equipment, including but not limited to, computers, phones, and photocopiers.

Physical Demands

• This position requires the frequent and repetitive use of a computer, keyboard, and mouse. Hand and finger dexterity is required.

Other Duties

• Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

EEO

• Saama Technologies, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits 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.