Chicago Tech Jobs and Startup Jobs


Operations Analyst

14 hours ago
Design and implement process and workflow improvements within the lab. Present analytics using data visualization tools (i.e. Tableau, Excel, R). Work alongside scientists to provide project updates and create reporting deliverables for external collaborators. Management of internal databases including specimen intake and updating pathology reports. Responsible for sample coordination across labs, including tracking samples through the NGS accessioning, sequencing, and bioinformatics pipelines. Report project statuses, quality metrics, and general feedback to team leadership.

Lead Real World Analytics Data Scientist

Informatics Scientist - Cardiology AI

Pharmacogenomics Junior Variant Scientist

Associate, Clinical Data Learning & Development

Engineering Lead - Analytics Platform

Sample Coordinator

Bioinformatics Scientist, Data Operations

Jr. Bioinformatics Scientist

Statistical Geneticist

Clinical Scientist Liaison

Assay Development Staff Scientist, IVD

Pharmacogenomics Specialist

Clinical Informatics Integration Analyst

Variant Scientist

Senior Data & Machine Learning Scientist

Computer Vision / Deep Learning Scientist

Data Platform Engineer

Data & Machine Learning Scientist

Technical Trials Analyst

Strategy & Operations Analyst

Manager of Clinical Research Navigation (RN)

Jr. Clinical Trials Data Specialist

Data Warehouse Architect/Modeler

Jr. Clinical Data Abstractor

Informatics Data Engineer

Clinical Data Manager

Associate, Strategy & Operations - Tempus Life Sciences

Senior Clinical Genomics Scientist

Translational Bioinformatics Scientist

Principal Bioinformatics Scientist

Cell Culture Research Associate (11 am – 7 pm)

Commercial Operations Associate

Business Operations Analyst

Load 10 more jobs34 jobs at Tempus

Data Analyst

Mastery Logistics Systems
1 week ago
Become an expert on logistics data in order to successfully curate data via custom-built reports and dashboards for our customers. Assess data quality and make recommendations for improving processes around data collection and cleaning. Work in a collaborative, cross-functional team of Software Engineers, Data Scientists, and Product Managers in order to successfully provide Analytics as a Service for logistics customers. Collaborate with the Data and Client Services teams to develop analytical requirements and conduct gap analyses for our SaaS product's current capabilities and client needs. Educate business users on how to use our self-service BI tools to produce effective data visualizations and build ad-hoc reports that deliver insights into their daily business operations.

Sr. Data Engineer

Echo Global Logistics
1 week ago
As a Senior Data Engineer on the Echo Global Logistics team, you will contribute to database management of large scale web-based applications through the use of SQL, C#, and .NET tools. These technologies enable Echo’s business while supporting architectural vision of quality, scalability, performance and function. Our proprietary software is created with the goal to simplify transportation for our customers and carriers, and is one of our largest competitive advantages in an ever growing market.

Senior Accountant

Arity-Data Steward Manager

1 week ago
The Data Governance and Quality team works across the Enterprise to manage the strategy, integration and governance of data at Arity. Members of Arity's Data Governance and Quality team have responsibility for ensuring consistency and clarity of our data across our product portfolio. The team works very closely with product partners to convert business needs into data solutions that power our businesses. The Lead Data Steward is responsible for leading a team of Data Stewards that manage and govern core internal and external analytical data for the organization. In this role, you will help establish, train, and execute capabilities that will advance the Data Stewardship program. Through this work you will provide 'fit for use' data to enable timely generation of sound end-to-end business insight by ensuring our data is timely, accurate, complete, and most importantly, 'fit for purpose' for our customers' use cases.

Arity-Data Scientist-Sr Manager

Arity-Sr Data Scientist

Arity-Cloud Cost Optimization Analyst

BI Analyst

2 weeks ago
 We are looking for a Business Intelligence Analyst with experience in data analytics and metrics optimization. We are interested in furthering our data collection and analysis practices, you will be responsible for coming up embedded analytics for our customers.   

Informatica Developer

2 weeks ago
Provide insight into & develop database solutions to store and retrieve a wealth of data from the supply chain market, we currently collect more than 1B rows of vehicle location data/month. Work with the data science team to architect the market data used with machine learning algorithms. Define ETL processes for warehousing production data used to provide business analytics for our customers.  Keep team informed of developments and direction in data technologies. Define security and backup procedures. Develop database design and architecture documentation.

Principal Data Scientist

Strong Analytics
2 months ago
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. Diving in at key points to contribute technically (e.g., in data modeling/engineering). Preparing/presenting final deliverables to clients at project updates and final delivery.

Data Scientist

GreenKey Technologies (GK)
4 months ago
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

Data Engineer

Strong Analytics
7 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
7 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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