Chicago Tech Jobs and Startup Jobs

7

Business Operations Analyst

Tempus
Chicago
14 hours ago
+34
Provide data-driven insights and recommendations to internal Tempus teams and play a key role in operational projects to implement approved changes. Manage data infrastructure, reporting, and KPIs for the Clinical Pipeline team responsible for timely delivery of patient reports. Collaborate cross-functionally to ensure that data is appropriately reflected and consumed by all Tempus teams. Conduct insightful, ad hoc analyses to investigate ongoing or one-time operational issues.

Operations Analyst

Informatics Scientist - Cardiology AI

Pharmacogenomics Junior Variant Scientist

Sample Coordinator

Statistical Geneticist

Clinical Informatics Integration Analyst

Variant Scientist

Senior Data & Machine Learning Scientist

Data Platform Engineer

Data & Machine Learning Scientist

Computer Vision / Deep Learning Scientist

Commercial Operations Associate, Tempus Life Sciences

Protocol Manager

Jr. Clinical Trials Data Specialist

Clinical Data Manager

Jr. Clinical Data Abstractor

Informatics Data Engineer

Translational Bioinformatics Scientist

Principal Bioinformatics Scientist

Life Science Data Analyst

Load 10 more jobs21 jobs at Tempus

Business Intelligence Analyst

Vail Systems, Inc.
Chicago
2 weeks ago
+27
You have an affinity for and a passion for analyzing vast amounts of quantitative and qualitative data. You are methodical and scientific, constantly building hypothesizes and testing your own assumptions. You may have been told you march to the beat of your own drum, but you've always been able to work well within diverse teams. You feel just as much at home running statistical tests in Python, Excel, or R as you do with building visualizations in Tableau, Superset, or Power BI. You try to make it look easy, but you have no problem getting deep into the weeds when necessary. And when in the weeds, the drum you march to is an upbeat soundtrack playing in your head.

Principal Data Scientist

Strong Analytics
Chicago
2 weeks ago
Strong Analytics is seeking a Principal Data Scientist to join our growing team! Principal Data Scientists take responsibility for designing, executing, and delivering successful projects for our clients. They play a "player coach" role. In this role, you will: Work with clients to scope project requirements and architecture Orchestrating the project team (data scientists, engineers, and dev-ops) to successfully build out the project roadmap

Data Scientist

GreenKey Technologies (GK)
Chicago
2 months ago
+13
GreenKey is currently hiring data scientists to lead the development of ground-breaking technologies in the field of speech recognition & natural language processing (NLP) for the financial markets. As a GreenKey Data Scientist, you have influence on our overall NLP strategy by helping define product features, build machine-learning models, drive system architecture decisions, and spearhead industry-best practices. GreenKey Data Scientists have direct lines of communication with clients to have a tight feedback loop between customer problems and machine learning solutions

Finance & Talent Manager

GreenKey Technologies (GK)
Chicago
3 months ago
+13
GreenKey is looking for a resourceful generalist to support the vision and execution of our operating plan. You are approachable, bright and trustworthy. You want an opportunity to take on new responsibilities across business functions. You have worked in finance, HR or business operations for 2+ years.  This role is adept at leading and managing projects and being able to communicate effectively with all levels of the organization. You will have growing responsibility in a wide variety of functions. You will have the opportunity to have a clear impact on the company’s growth and culture while developing your problem solving and project management skills. Ideal candidates will thrive in a fast-paced startup environment and be organized, energetic and dependable.

Data Engineer

Strong Analytics
Chicago
5 months ago
Strong Analytics is seeking a data engineer to collaborate with our team building and managing ETL pipelines, embedding statistical algorithms in robust applications, and deploying machine learning applications to the cloud. This role requires high-level Python programming, high-level SQL, experience deploying applications to AWS, and experience in distributed data processing (e.g., Hadoop, Spark, Hive).

Data Scientist

Strong Analytics
Chicago
5 months ago
Statistical modeling and hypothesis testing. Designing, training, and validating results from a breadth of machine learning algorithms. Writing clean, efficient SQL. Integrating with various RDBMS (e.g., Postgres, MySQL) and distributed data stores (e.g., Hadoop). Building Python applications. Deploying applications into cloud-based infrastructures (e.g., AWS). Building deep neural networks with modern tools, such as PyTorch or Tensorflow. Creating and interacting with RESTful APIs. Managing *nix servers. Writing unit tests. Collaborating via Git.

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