Postdoc in Genetic Epidemiology/Statistical Genetics

TN Italy; Milano; In loco; EUR 40.000 - 70.000; Tempo pieno

Descrizione del lavoro

An established industry player is seeking a highly motivated Postdoc in Genetic Epidemiology/Statistical Genetics to join their dynamic team in Milan. This role involves leading innovative research projects aimed at understanding the genetic architecture of molecular traits and their interactions with environmental factors. The successful candidate will work with a diverse team of researchers, contributing to high-impact publications and advancing the field of health data science. This position offers a unique opportunity to engage in cutting-edge research while enjoying a supportive and inclusive work environment.

Servizi

Work-life balance provisions

Italian language training for foreigners

Parental leave up to 1 year

Counselling services

Flexible working hours

Support for relocation

Income tax benefits for new researchers

Competenze

• PhD in relevant scientific field required within 6 months.
• Experience with genome-wide association studies and causal inference.

Mansioni

• Design and lead analyses integrating genetic and molecular data.
• Collaborate with international researchers on large-scale studies.
• Contribute to scientific publications and presentations.

Conoscenze

Statistical methods for complex data

Python

R

Quantitative skills

Analytical reasoning

Scientific writing

Team collaboration

Formazione

PhD in Genetic Epidemiology

PhD in Statistical Genetics

PhD in Health Data Science

Strumenti

Statistical programming languages

Data visualization software

Descrizione del lavoro

Social network you want to login/join with:

Postdoc in Genetic Epidemiology/Statistical Genetics, Milano

col-narrow-left

Client:

Human Technopole

Location:

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Reference:

f72ef576a28e

Job Views:

2

Posted:

06.05.2025

Expiry Date:

20.06.2025

col-wide

Job Description:

APPLICATION CLOSING DATE: June 4th 2025

The Health Data Science Centre (HDSC) focuses on systematically generating, mobilising, and harvesting “big data” to create a dynamic and agnostic collection of information and deliver a new class of research that will enable a better understanding of the clinical, molecular, behavioural and environmental determinants of non-communicable diseases, ultimately benefiting patients and society. The Centre owns exceptionally rich genetic and molecular (especially proteomic data) datasets in cohorts of various ethnicities.

The Di Angelantonio-Ieva group is seeking to recruit a highly motivated Postdoc in Genetic Epidemiology/Statistical Genetics . The postholder will be involved in or lead major projects to understand the genetic architecture of molecular traits alone and in interaction with the environment. S(h)e will help in defining the direction of scientific work, conducting research, analyzing data, preparing the work for publication and disseminating results. The work of the post-holder is expected to lead to high-impact publications.

Your main tasks and responsibilities:

Designing and leading analyses to integrate genetic and molecular data in various populations, taking advantage of the exceptionally rich data available at the Centre;

Developing effective ways of handling, cleaning and integrating complex genetic and molecular phenotype data into epidemiological datasets (pipelines);

Working with epidemiologists and other colleagues in the Centre to help develop and implement methodologically appropriate analysis strategies for genetic and ‘omic data integrated into epidemiological investigations;

Collaborating with external (including many international) researchers to lead or contribute to large-scale consortia and meta-analyses;

Working closely with colleagues to help interpret findings and draft manuscripts and other reports for publication;

Anticipating, communicating and solving any potential problems that arise with analyses or other aspects of research projects;

Contributing to reports, presentations and publications by preparing numerical and graphical summaries (visualizations) using relevant computer software;

Assisting with preparing grant applications to secure further funding for relevant projects;

Helping establish new projects and research consortia relating to cardio-metabolic health, including designing and conducting pilot studies;

Following and promoting open science practices within the Centre;

Reviewing, analyzing or presenting information relative to own or related projects when requested;

Contributing to the Centre’s training program by teaching and tutoring on internal and external workshops (online and in person);

Contributing to disseminating scientific results to the public and taking part in patients and public involvement and engagement activities;

Contributing to MSc and PhD students supervision, as requested and appropriate.

PhD Degree in a relevant scientific field (e.g. genetic epidemiology, molecular epidemiology, statistical genetics, biostatistics, health data science, etc) to be obtained max. within 6 months from the closure of this call;

A sound understanding of applying relevant statistical methods to highly-dimensional complex data from molecular phenotypes coupled with genotypes, for discovery, prediction and causal inference in epidemiological studies (including but not limited to genome-wide association studies of molecular phenotypes, Mendelian Randomization, co-localisation);

Experience of statistical or other programming languages to manipulate large-scale datasets – e.g. Python, R;

Strong quantitative skills and analytical reasoning applied to observational data;

A track record of authoring scientific publications;

Fluency in English.

Preferred Requirements

High-level report writing and presentation skills;

Organizational and social skills

Ability to work accurately, with attention to detail;

Self-motivated, able to work independently and organize own workload;

Enthusiastic team player and able to work collaboratively and across different disciplines.

Any questions concerning the role and/or queries regarding the relevant terms and conditions should be addressed to [emailprotected] (this email address should not be used to send applications).

Application instructions

Please apply by sending:

your CV;

a motivation letter in English highlighting how your methodological skills, scientific knowledge and work experience fit with the positions specific requirements;

the names and contact details of 3 referees.

WHY HUMAN TECHNOPOLE

HT seeks scientific excellence. We recruit the best scientific talents through international, open calls.

Our working environment is international, friendly and inclusive. Our scientists work together across disciplines on research topics of biomedical relevance, leveraging synergies between their diverse skill sets and methodological approaches.

We believe that highly diverse teams yield the best and most innovative results.

We engage in outward-facing scientific activities aimed at benefiting the national and international research community. Training is also at the heart of our activity, with initiatives and opportunities for our staff, including scientific courses, conferences and workshops.

MAIN BENEFITS

Work-life balance provisions;

Italian language training for foreigners;

Parental leave up to 1 year and other support for new parents;

Counselling;

Possibility of flexible working hours;

Support for relocation;

Researchers coming to Italy for the first time, or returning after residing abroad, benefit from very attractive income tax benefits.

Special consideration will be given to candidates who are part of the protected categories list,

according to L. 68/99

Number of positions offered:1

Contract offered:CCNL Chimico Farmaceutico, Fixed-term 3 years in first instance with option for extension - employee level.

The position is based inMilan

“The Foundation reserves the right, at its sole discretion, to extend, suspend, modify, revoke, or cancel this job posting without giving rise to any rights or claims whatsoever in favour of the candidates; the Foundation reserves, however, the right not to proceed with the awarding of the above-described assignment due to the effect of supervening regulatory provisions and/or obstructive circumstances”.