Company Description

Our focus is to help Biotech/BioPharma, MedTech, Digital Health, Healthcare, Insurance, and Tech organizations accelerate innovation, enable data-driven decisions, and create AI/ML applications. We 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 outcomes and help our clients stay ahead of the competition.

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.

This position is part-time and may convert to a permanent position for the right candidate. 

Job Description

Are you currently working towards a STEM or related degree? Wanting to find an internship/fellowship? Let us know. Mercury Data Science is looking for software engineers, data engineers, and data science-minded folks that are looking to work on or are interested in working on the engineering side of data science & AI/ML product development. This is a part-time position with the potential to become a full-time position upon graduation.

In your work, you will be exposed to cutting and bleeding-edge technologies - and may be involved in building it too!

We are a predominantly Python/Javascript shop, but there will also be exposure to Go, R, Java/Scala, C/C++, and much more. You will become, if you aren’t already, a trained cloud guru, knowledgeable in not only the cloud vendor stacks but also in cloud-native stacks.

Qualifications

• Entry to intermediate coding skills in Python or javascript
• Experience with version control
• Experience building a solution in code (school work, personal projects, etc)
• Know what the Cloud is and basic around using the cloud
• Familiarity with Infrastructure-as-Code
• Working towards STEM degree or similar experience

Additional Information

Tools We Love

• Programming Languages: Python, Javascript, Scala, C++, Matlab
• DevOps: Terraform, Docker, Kuberentes, git, Jenkins, and related toolsets
• ML Workflow Tooling: Sagemaker, MLFlow, Kubeflow, DVC, Argo+Polyaxon+Seldon, Argo
• Data Processing: dbt, python+pandas, AWS Glue (Jobs), Spark/pySpark, Fivetran, Matillion, Dask
• Data Warehousing/Lakes: Redshift, Snowflake, BigQuery, Synapse, Athena, S3/gcs/ADLS

Skill Levels

• Academic experience