NYC Tech Jobs and Startup Jobs

9

Lead for Advanced Structured Reading

Covera Health
Greater NYC Area
2 days ago
+18
You will work with a growing multidisciplinary team of talented data scientists, other statisticians, engineers, and researchers to leverage unique healthcare data (in the form of MRI images, clinical reports, claims data, and beyond) to create new and improved methods for assessing and predicting the quality of care delivered by healthcare providers and determining the impact that care quality has on overall patient outcomes and cost. You will have the opportunity to work with extremely diverse and entirely unique medical image and healthcare datasets that extend to all phases of care delivery (referral, diagnosis, therapy, and outcome/follow-up) from the perspective of all key stakeholders (patients, providers, payers).

Machine Learning Engineer

Peloton
Greater NYC Area
2 days ago
+27
Build and improve machine learning pipeline that power Peloton’s content recommendations. Evaluate, implement, and improve machine learning models. Productionize, deploy and monitor machine learning based services.

Senior Machine Learning Software Engineer

Paige
Greater NYC Area
2 days ago
+29
Paige is a software company helping pathologists and clinicians make faster, more informed diagnostic and treatment decisions by mining decades of data from the world’s experts in cancer care. We are leading a digital transformation in pathology by leveraging advanced Artificial Intelligence (AI) technology to create value for the oncology clinical team.  Paige is the first company to develop clinical grade AI tools for the pathologist, which

Data Scientist, Product Analytics

noom
Greater NYC Area
1 week ago
+50
We work on problems that affect the lives of real people. Our users depend on us to make positive changes to their health and their lives. We base our work on scientifically-proven, peer-reviewed methodologies that are designed by medical professionals. We are a data-driven company through and through. We’re a respectful, diverse, and dynamic environment in which Engineering is a first-class citizen, and where you’ll be able to work on a variety of interesting problems that affect the lives of real people. We offer a generous budget for personal development expenses like training courses, conferences, and books. You’ll get three weeks’ paid vacation and a flexible work policy that is remote- and family-friendly (about 50% of our engineering team is fully remote). We worry about results, not time spent in seats. Delicious (and nutritious) daily lunches and snacks prepared by Sam, our NYC office on-site chef.

Senior Machine Learning Software Engineer

Imagen Technologies
Greater NYC Area
1 week ago
+23
As Senior Machine Learning Software Engineer, you will work with a small team of scientists, radiologists, and software engineers who plan and develop Imagen’s machine learning products. You will be helping design and rapidly prototype our machine learning software, including the tools and infrastructure necessary to build and deploy it at healthcare providers. You’ll be focused on rapid prototyping and iteration, making practical implementation decisions, and creating proofs of concept for novel research ideas. 

Scientific Development Lead, Tempus Insights

Tempus
Greater NYC Area
2 weeks ago
+13
Find the most exciting scientific advancements, algorithms, molecular signatures and technology that Tempus can invest in and bring to doctors and patients. Work with academic researchers and other life sciences companies to identify unique technology that fits with Tempus’ mission, core business and capabilities. Evaluate opportunities: assess feasibility of potential projects, collaborate with internal and external stakeholders to understanding scientific opportunities, timelines, costs and multiple other variables to determine optimal partnerships.

Senior Data Scientist

Crossix
Greater NYC Area
2 weeks ago
+29
Apply machine learning, data mining, and statistical analysis techniques to large health data sets to build new products and methodologies. Own responsibilities related to project and people leadership, including leading data scientists and analysts. Collaborate closely with a team of data scientists, product managers, and executives to discover and deliver product offerings from prototype to massive scale. Explore and find meaning in high volumes of data to evaluate data quality and extract actionable insights that will help drive business decisions; execute data querying, data cleansing, and experiment design. Rapidly build prototype product solutions, communicate findings, and iterate. Draw from prior experience and technical expertise to identify product improvements and inform testing plans; break overall objectives down into underlying problems that can be prioritized and solved. Work with product and engineering teams to improve and implement methods and features. Master core parts of the Crossix technology platform. Technologies include Spark, SQL, Python, R, AWS, and proprietary data mining software.

Principal Data Scientist

Machine Learning Engineers

D. E. Shaw Research
Greater NYC Area
2 months ago
This is a unique opportunity to collaborate with our world-class team of chemists, biologists, and computer scientists to expand the group’s efforts applying machine learning to drug discovery, biomolecular simulation, and biophysics.  Ideal candidates will have demonstrated expertise in developing deep learning techniques, as well as strong Python programming skills.  Relevant areas of experience might include molecular dynamics, structural biology, medicinal chemistry, cheminformatics, and/or quantum chemistry, but specific knowledge of any of these areas is less critical than outstanding intellectual ability and a track record of achievement and innovation in the field of machine learning.

AI Scientist - Deep Learning for Natural Language…

Covera Health
Greater NYC Area
6 months ago
+18
We are looking for a talented AI Scientist with a focus on Deep Learning and Natural Language Processing to join us in our commitment to improve the quality of care for patients in every community across the nation. It is crucial that you have a Masters or PhD with a thesis and work in application of image analysis methodologies. You will work with a growing multidisciplinary team of talented data scientists, other statisticians, engineers, and researchers to leverage unique healthcare data (in the form of MRI images, clinical reports, claims data, and beyond) to create new and improved methods for assessing and predicting the quality of care delivered by healthcare providers and determining the impact that care quality has on overall patient outcomes and cost. You will have the opportunity to work with extremely diverse and entirely unique medical image and healthcare datasets that extend to all phases of care delivery (referral, diagnosis, therapy, and outcome/follow-up) from the perspective of all key stakeholders (patients, providers, payers).

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