Description

About Immunai

Immunai is an engineering-first platform company aiming to improve therapeutic decision-making throughout the drug discovery and development process. We are mapping the immune system at unprecedented scale and granularity and applying machine learning to this massive clinico-immune database, in order to generate novel insights into disease pathology for our partners - pharma companies and research institutes. We provide a comprehensive, end-to-end solution - from data generation and curation to therapeutics development, that continuously supports and validates the capabilities of our platform. 

As drug development is becoming increasingly inefficient, our ultimate goal is to help bring breakthrough medicines to patients as quickly and successfully as possible.

Immunai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

About the role

Immunai addresses key challenges in pharma through its extensive single-cell database, enriched with clinical metadata, treatment data, and patient demographics. As a Data Product Manager for Immunai's data platform, you will lead the development of a system to ingest, process, quality-check, and deliver single-cell data to its consumers. 

We are looking for a candidate who demonstrates a strong sense of ownership and passion for both the strategic vision and the intricate details. Thriving in a fast-paced startup environment, you will operate autonomously while working closely with a highly talented team to drive substantial impact and create products that will revolutionize drug development. 

Location: Ramat Gan, Israel (Hybrid model)

What will you do?

  • Define the vision for Immunai’s core data systems, converting patient samples into actionable data at an unprecedented scale to address key pharma challenges  
  • Define the strategic roadmap, encompassing pipelines for single-cell data processing and annotation, quality control systems and reports, dedicated databases, and user-friendly data access interfaces
  • Partner with R&D to realize the roadmap, deeply understand the problem space, define detailed system requirements, and make hard prioritization decisions across stakeholders needs in order to ensure that we focus on the most important outcome sets
  • Evangelize the product and build shared context around the “what” and ”why” of the core data systems, ensuring that all key stakeholders are empowered to make decisions and do their best work
  • Own the outcome, ensuring that our data product and infrastructure development are effectively creating value for our users, and accelerating our business and therapeutic goals 

Requirements

Required qualifications

  • 4+ years of experience in product management roles - a must
  • Experience in building, scaling and managing highly technical data infrastructure products throughout the product life cycle - a must
  • Comfortable working at both the high level strategic and roadmap level, as well as at the detailed, hands on level in a highly technical space 
  • BSc or higher degree in a technical or scientific discipline; specifically an academic degree in life sciences is a big plus
  • Demonstrated success in collaborating with and bridging between cross-functional teams
  • Exceptional written and verbal communication skills to technical and non-technical audiences

Desired personal traits

  • You want to make an impact on humankind
  • You prioritize “We” over “I”
  • You enjoy getting things done and striving for excellence
  • You collaborate effectively with people of diverse backgrounds and cultures
  • You have a growth mindset
  • You are candid, authentic, and transparent

*Please note that when you apply for a position at Immunai, your application will be processed via our recruitment platform Comeet. You can read more about how we process personal data here: https://www.immunai.com/privacy-policy/

Location

Ramat Gan, Tel Aviv District, IL

Job Overview
Job Posted:
3 days ago
Job Expires:
Job Type
Full Time

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