Company Description

Our focus is to help high growth companies leverage AI to solve today’s hardest challenges. We are driven to make the world a better place by providing consulting services and building applications to improve care, enhance discoveries, and enable data-driven decisions.

Our team is composed of creative and results-focused individuals who excel at solving real-world problems. Our diverse backgrounds bring technology and expertise from various disciplines including neuroscience, physics, engineering, computational biology, genomics, mathematics, and computer science.

Our culture is vibrant, connected, rooted in our core values statement that: Our work matters. Our clients are partners. Our work is our reputation. We own our choices. We are always learning. We support and challenge each other.

Job Description

This role is ideal for a results-focused individual who excels at solving problems at the cutting edge of data science with strong technical abilities to take on challenges in data mining, machine learning, data extraction/analysis, and algorithm development in various life science, pharma, and tech industries. Background in bioinformatics, neuroscience, drug development, human behavior, electronic medical records systems, signal processing or video analytics is a plus.

This position may convert to a permanent position for the right candidate.

Responsibilities

• Explore data to generate hypotheses, research similar problems for ideas, brainstorm with teammates to strategize potential solutions, test their feasibility, and contribute to their development
• Prepare for a data science career with guidance from professionals with a wide variety of backgrounds

Qualifications

• Currently pursuing a Masters, PhD, or a Postdoctoral researcher in Computer Science, Math, Statistics, Physics, Computational Biology, or a closely related field
• Passion for solving complex data engineering and modeling tasks
• Machine Learning and Python experience
• Knowledge of relational databases, data modeling, and schema normalization techniques
• Comfortable working in a fast-paced, collaborative team environment

Additional Information

Valuable Skills/Experience

• Expertise in designing and implementing efficient algorithms
• Experience with Deep Learning Neural Network building with frameworks such as Tensorflow or PyTorch
• Experience in high-performance cloud computing
• Expertise with UNIX (Linux) and Spark