Discovery Data Scientist At Drugs for Neglected Diseases initiative

Location: Rio de Janeiro/ São Paulo – Brazil

Purpose of the position

The Discovery Data Scientist will assist the discovery team to deliver on the team objectives and plays a critical role for the progression of DNDi Hit generation and Lead Optimization (LO) projects up to preclinical candidate delivery.

Key focus of the role:

• Responsible to ensure that the DNDi discovery compound & data management system is adequate and meets the need of the discovery department of the organisation.

• Ensure the integration of novel R&D tools into current workflows to increase the efficiency and ability to incorporate emerging technologies e.g. AI , Machine learning in the organization. The role may also include direct or indirect support to the DNDi disease teams .

• Support the team in the analysis, modelling, interpretation and presentation of drug discovery data

The Discovery Data Scientist works in close collaboration with other members of the DNDi global discovery team to progress the DNDi discovery portfolio of DNDi projects.

The Discovery Data Scientist should establish and maintain effective working relationships with other groups at DNDi as well as external collaboration partners such as academic research institutions, expert consultants, and industrial partners to ensure that data in accordance to best practice.

Specific Job Responsibilities

• Ensure timely integrity check and upload of new data into the DNDi database repositories tool (currently ScienceCloud), review technical quality of data import
• Ensure appropriate database import templates are in place, and shared with partners and CROs
• Oversee the database structure, if applicable proposes and action reviews and upgrades
• Provide database access, including data downloads to collaboration partners as requested
• Manage licenses for DNDi R&D software, ensure compliance with DNDi IT policies and data security
• Maintain interaction with database and supplies of scientific software e.g. Biovia, Optibrium, support DNDi staff in resolving issues related to software use and data upload/retrieval of data
• Work with DNDi IT department to resolve issues related to internal infrastructure and DNDi use of scientific software
• Review new software solutions and propose upgrades to the DNDi software suite, if requested provide input to investment cases
• Contribute to the integration artificial intelligence (AI) and machine learning (ML) approaches into DNDi projects
• Provide adequate support with data analysis and data interpretation on DNDi discovery projects
• Contribution to DNDi working groups where technical expertise on data management, data analysis and interpretation is required
• Instrumental in the preparation of documents (reports, presentations, data visualizations,…) for internal and external use
• Manage scientific software licenses used by the Discovery Team

Reporting line

• The Discovery Data Scientist reports to Head of Discovery and R&D Partnership – LatAm
• Other contributing managers: Discovery Project Manager (ADME/PK), Discovery Project Leader (Hit generation), Drug Discovery Coordinator LATAM

Interactions

• Works within the Discovery Team, ad hoc interactions with other DNDi departments such as Translational and Pharmaceutical development teams
• Works in close collaboration with external partners, service providers and experts
• Has a representational role through the promotion of DNDi data management and software requirements and maintain productive relationships by projecting the image of a credible partner

Experience

• Minimum 3 years post-graduate experience in a relevant scientific data management role.
• Previous experience with data management repositories and data analysis and visualization in support drug discovery projects will be a strong asset
• Proven ability to work effectively in a team environment and matrix structure
• Experience of working in public and private sector is highly desirable

Education

• Graduate or post graduate degree

Other Requirements

• Fluency in English
• Proficiency in local languages desirable (Portuguese and/or Spanish)
• Very good knowledge of Microsoft Suite

Other information

• Status: Full time – Permanent role