Mid Level Chicago Startup and Tech Jobs

9

Machine Learning Engineer

Stats Perform
Chicago
1 day ago
+24
We are looking for a Machine Learning Engineer to build world-class machine learning platform solutions. You will be responsible for empowering data scientists and AI scientists by developing a collection of industry-strength platform services to greatly improve scientists productivity and facilitate innovation. Your responsibilities include, but not limited to:

Bioinformatics Scientist, Data Operations

Tempus
Chicago
1 day ago
+34
Field questions and requests from internal and external customers - including pharmaceutical clients and research partners - regarding our bioinformatics pipeline. Use SQL, Python, Bash, etc., to retrieve relevant files and data from various bioinformatics databases for data delivery teams.  Engage in cross-functional analysis with various teams within Tempus, including other scientists and clinicians, delivery teams, and operations team management to analyze cancer clinical sequencing data relevant to Partner/Pharma clients and respond to their specific questions. Communicate findings in a clear and logical manner to help stakeholders make scientific decisions based on your data analysis, oftentimes over the phone or at on-site meetings. Produce high quality and detailed documentation for all projects.

Statistical Geneticist

Assay Development Staff Scientist, IVD

Clinical Informatics Integration Analyst

Senior Data & Machine Learning Scientist

Payroll Analyst

Data Warehouse Architect/Modeler

Informatics Data Engineer

Associate, Strategy & Operations - Tempus Life Sciences

Senior Clinical Genomics Scientist

Principal Bioinformatics Scientist

Informatics Scientist - Cardiology AI

Load 8 more jobs12 jobs at Tempus

Data Engineer

Kalderos
Chicago
1 week ago
+28
Kalderos is experiencing a unique rapid scale moment and is seeking several development and engineering roles, including a Data Engineer that will be responsible for building world-class software solutions over a wide variety of warehousing, analytics, machine learning and reporting requirements. The ideal candidate is a leader who has extensive experience in data delivery and decision support technologies, has a strong sense of responsibility to customer concerns and who enjoys working in an environment filled with variety, urgency, and continuous personal and professional growth.

Principal Data Scientist

Strong Analytics
Chicago
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.

Human Resources Generalist

Bluecrew
Chicago
4 months ago
+19
Working with and supporting employees to resolve concerns. Making sure all legal requirements are fulfilled during hiring, disciplining and termination best practices. Helping to administer employee benefits. Maintaining employee data and supporting documentation for all HR actions.

Data Scientist

GreenKey Technologies (GK)
Chicago
4 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

Database Developer

Kalderos
Chicago
6 months ago
+28
Build and maintain relational database artifacts and analytic tools that are high-performance, maintainable and flexible. Assist the Database Developer in planning for and acting on requirements for constant growth and expansion of Kalderos’ database environment. Quickly gain expertise with Kalderos’ existing database and business models and provide input on how to continually enhance both. Be the first line of support for questions about data quality and status.  Adhere to and promote software development standards and align them with changing technologies. Continually research and analyze new database frameworks and tools that Kalderos can bring to bear in its continuous improvement journey.

Data Engineer

Strong Analytics
Chicago
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
Chicago
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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