Bioinformatician
Natera- Full Time
- Junior (1 to 2 years)
Candidates should have a BS, MS, or PhD in Biotechnology, Bioengineering, Biophysics, Chemical Biology, or a related field. At least 2 years of hands-on experience developing and running biochemical, biophysical, or cell-based assays is required. Experience with lab automation equipment, including liquid handlers, robotic arms, and microfluidics for high-throughput screening is essential. Proficiency in Python for data analysis, automation integration, and assay design is necessary. A strong background in protein characterization techniques, including binding kinetics, stability profiling, enzymatic activity measurements, and cellular functional assays is expected. Familiarity with cell culture techniques for eukaryotic and prokaryotic systems and assay development for high-throughput screening platforms is important. Candidates must also demonstrate the ability to work in a fast-paced startup environment, solve complex problems, and drive technological innovation in assay development.
The Research Engineer will develop and optimize high-throughput in vitro protein characterization assays, including binding, stability, solubility, and enzymatic activity assays. They will design and automate cell-based assays for functional protein characterization, including reporter assays, cell surface binding, internalization assays, and proliferation or signaling assays. The role involves automating assay workflows using liquid handlers, robotic platforms, and microfluidics to scale up experimental throughput and reproducibility. The engineer will develop multiplexed and miniaturized screening approaches, integrating NGS-based functional screening and microfluidic-based selection for protein engineering applications. They will work closely with the Software and ML Teams to integrate assay data into computational pipelines for real-time analysis and predictive modeling. Additionally, the engineer will analyze and interpret large datasets, applying statistical methods and machine learning to extract biological insights, and optimize assays for library screening and directed evolution to support protein optimization efforts with high-throughput functional readouts.
Financial management platform for construction businesses
Adaptive.build offers a financial management platform designed for the construction industry, featuring automated bookkeeping, cash flow management, vendor compliance, and real-time budgeting integrated with Quickbooks. It helps builders and remodelers manage job costs, maximize profits, and gain project visibility by simplifying tasks like bill payments and budget tracking. Unlike competitors, Adaptive.build focuses specifically on the unique financial challenges of construction projects, providing a comprehensive solution that saves time and improves accuracy. The company's goal is to enhance financial performance for its users through efficient management tools, operating on a subscription model.