About nference
nference is a rapidly growing biomedical data science company with a presence in Boston, Toronto and Bengaluru. nference is led by a multidisciplinary team of serial entrepreneurs from the tech and biotech worlds along with highly trained, innovative and dedicated scientists/physicians (Ph.D’s and/or MD) in Biology/Genomics from Massachusetts Institute of Technology (MIT), Harvard Medical School and Broad Institute. The mission of nference is to synthesize the world’s exponentially growing biomedical knowledge. The nference core platform (nferX) uses state-of-the-art natural language processing and advanced neural networks for automated extraction of knowledge from the scientific, regulatory, and commercial bodies of biomedical literature in real-time.
At nference you will get to draw on applying ML, DL and statistical computing models and techniques on various kinds of text, image and molecular data sets from diverse sources to address problems that pertain to the entire drug development pipeline, from early-stage discovery to real-world analysis. You will often work on more than one project and also interact closely or be part of teams building applications used by customers.
You will also have an opportunity to learn from and interact with an incredibly bright set of engineers as well as domain experts including biologists and clinical physicians as our Cambridge (US) and Bengaluru facilities. Being a relatively early-stage company, you will also have tremendous opportunities to make key contributions and innovations (including filing international patents) and impact product offerings in a transparent and flat organization.
Responsibilities
- Join our data science and engineering team to undertake cutting-edge R&D projects in the above-mentioned areas.
- Interact with team members, including domain experts, to build and engineer optimal solutions for customer problems and platform features.
- Adapt and innovate on the latest data science and computer science techniques to develop solutions for real-world, large-scale problems in healthcare.
- Be responsible for deploying, debugging and ensuring high performance of developed solutions.
Qualifications
- Bachelors/Master’s/PhD in Computer Science or related technical field.
- Experience and mathematical understanding in one or more of Natural Language Understanding, Computer Vision, Machine Learning, Optimization.
- Experience in effectively building and deploying ML systems using frameworks such as PyTorch, Tensorflow, Keras, sklearn etc.
- Fluency in basics of computer science and engineering
Preferred Qualifications
- Proven relevant work experience.
- Proven strong record of building and deploying data science models.
- Demonstrated ability to design and execute on R&D agenda.
- Experiencing in building large-scale high-performance systems.
- Demonstrated ability in computer science and engineering.
Benefits
- Be a part of “Google of biomedicine” as recognized by the Washington Post
- Work with some of the brilliant minds of the world solving exciting real-world problems through Artificial Intelligence, Machine Learning, analytics and insights through triangulating unstructured and structured information from the biomedical literature as well as from large-scale molecular and real-world datasets.
- Our benefits package includes the best of what leading organizations provide, such as stock options, paid time off, healthcare insurance, gym/broadband reimbursement.