Principal Statistician, Global Rare Diseases (Parma, IT)

Parma, Italy Type not listed
Biostatistics & Data Science Rare Disease Principal
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Chiesi Farmaceutici is the source of truth for this posting and owns the application process. We surface normalized context and market comparison you won't find on the original listing.

About this opportunity

About us

Chiesi is an international research-focused biopharmaceutical group with 90 years’ experience, operating in more than 30 countries, with its Headquarter in Parma, Italy. More than 8,000 employees across the group are united by a singular purpose: promoting a healthier world for our people, patients, and the planet. This is what drives us as we research, develop, and market innovative drugs across our main therapeutic areas. Discover more here.

At Chiesi we are thinking generations ahead, driving sustainable innovation with purpose. This fosters a culture of reliability, transparency, and ethical behaviour at every level. As a Benefit Corporation and a certified B Corp, we have embedded sustainability in our bylaws and continuously measure our impact.

Diversity and inclusion are at the heart of who we are. We believe our differences make us stronger. We are a vibrant ecosystem of passionate, talented individuals united by strong values, each bringing unique perspectives that help us to continuously challenge the status quo for the better.

Chiesi Research & Development

Our R&D team represents a fundamental asset for the business. It is divided into integrated functional areas focusing on pipeline projects including discovery and preclinical research, global technical development, drug delivery technology, clinical development, regulatory affairs, pharmacovigilance, intellectual property, quality assurance, R&D project and portfolio management.  Headquartered in the new purpose-built and fully integrated Research and Development Centre in Parma (Italy), the team also has important operations in Paris (France), Chippenham (UK), Cary (US), Stockholm (Sweden), Toronto (Canada) and Shanghai (China).

Who we are looking for

This is what you will do

Provide statistical expertise and contributions for projects and protocols in support of Drug Development Programs; to provide statistical expertise on regulatory submissions and ensure quality and appropriateness of submission deliverables; to provide/oversee statistical support to planning, preparation, review and interpretation of data for clinical trials (interventional, observational and registries studies), ensuring that data are analysed and evaluated with appropriate statistical methodologies.

You will be responsible for

Providing statistical input in support of Drug Development Programs

Working with the other functions in assessing and leveraging data for meaningful, fit-for purpose summarization

Provide statistical support and leadership for study design, sample size calculation, patient randomization, statistical methods and analyses, analysis, and interpretation of data, reporting of results

Perform or supervise statistical activities for clinical trials; when activities are outsourced, interact with CROs and other external vendors

Review abstracts, posters, presentations, and manuscripts for publications

Review Clinical Study Reports

Collaborate in writing regulatory documents. Manage the statistical deliverables required by eCTD submission

Address any queries on statistical topics from regulatory agencies

Participate in regulatory audits/inspections as required. Attend meetings with regulatory agencies to support drug registration

Review/develop the Statistical Analysis Plan, including review or development of the definition of derived data sets, statistical tables, figures, and data listings for clinical summary reports

Plan, review and conduct high quality statistical analyses, post-hoc analyses, exploratory analyses, or analyses requested by regulatory agencies interacting with SAS programmers, as needed

Lead all the statistical activities for the Data Review Meeting or interacts with CRO statistician when activities are outsourced

Supervise and support the operational activities of statistical programmers

Share relevant knowledge and experiences with the colleagues in internal meetings and provide instructions to more junior statisticians

Participate and present, where appropriate, in educational activities

Demonstrate leadership in creation and promotion of an environment of teamwork, clearly communicating the expectations and objectives of the data analysis component of a project

Work as a member of a team to achieve all outcomes

Contribute to definition of Standard Operating Documents, if needed

Perform all work in accordance with established regulatory requirements ensuring compliance with GCP, GCDMP and CFR 21.11 guidelines, maintaining an in-depth knowledge of these documents

Participate in the Chiesi recruitment program as needed

Responsible to ensure compliance with Safety and Employment policies (e.g., Respect in the Workplace - Prevention of Violence and/or Harassment)

You will need to have

PhD or MSc degree in Statistics

A significant (>10 years) experience in statistics applied to clinical trials acquired within pharmaceutical companies or CROs

Strong knowledge of drug development process and regulatory requirements (such as ICH/GCP)

Strong statistical methodology knowledge with application to drug development and clinical trials

Capability to provide statistical leadership to cross-functional teams at a project/study level

Strong communication skills with the ability to communicate complex statistical concepts to a non-statistical audience

The ability to investigate data and suggest appropriate analysis to aid cross-funcational decision making

Good knowledge of international standards for data collection (CDISC)

Proficiency in using SAS System to conduct analysis

Knowledge of tools for sample size calculation

English fluent

We would prefer for you to have

Experience in clinical trials for rare diseases. Including study design and statistical analysis approaches typically used in small population trials

Experience applying adaptive design and/or Bayesian approaches to study design and analysis

Experience in interactions with Regulatory Agencies, researchers, health care

Experience with studies across all phases of clinical development

Knowledge of R or other statistical programming languages

Location

Europe - Remote

Compensation Range

The package outlined below is based on the role being located in Italy. Where the role is offered in a different country, the applicable salary, bonus and benefits will be aligned to the relevant local market and internal frameworks. Full details of the applicable package will be provided at the appropriate stage of the recruitment process.

The minimum salary for this role is € 59.000, aligned to our established salary framework. The final offer will reflect the candidate’s skills, experience, qualifications and internal equity considerations.

This role is eligible to participate in an annual bonus scheme, subject to company and individual performance.

In addition, we offer a comprehensive benefits package including pension, private medical insurance, wellbeing programme, flexible benefits programme, and more.

What we offer

No matter where your path starts at Chiesi, it leads to inspiring possibilities. Your future is our focus, and we are committed to nurturing your development in our dynamic, friendly environment with access to resources and training every step of the way.

We provide top-class benefits, including comprehensive healthcare programs, work-life balance initiatives, and robust relocation support. Our salary package is competitive, comprising a basic salary, performance bonuses, and benefits benchmarked against the external market. Additionally, we offer flexible working arrangements, remote work options, and tax assistance services for foreign colleagues, all designed to help you thrive.

Chiesi is an equal opportunity employer committed to hiring a diverse workforce at all levels of our business. All qualified applicants receive consideration for employment based on attitude and merit, without regard to race, national origin, age, sex, religion, disability, sexual orientation, marital status, military status, gender identity or expression, or any other basis protected by applicable laws. This policy applies to all aspects of employment, including hiring, transfer, promotion, compensation, eligibility for benefits, and termination.

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Job details

Seniority
Principal
Function
Biostatistics & Data Science
Therapeutic area
Rare Disease
Location
Parma, Italy
Employment type
Not listed

How this role compares

Computed from every other active Biostatistics & Data Science role in our database, not just this employer's listings.

We currently track 98 comparable Principal Biostatistics & Data Science roles across 24 biopharma companies.

98Comparable roles tracked
89Currently active
24Companies hiring similar roles
13Countries represented

Salary context

53 of 98 peers report a salary range (USD, annualized)

Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.

This roleSubject Not listed on this posting
Lowest disclosed · Principal Computational Statistician · Lilly $66,000/yr – $193,600/yr
Highest disclosed · Scientific Director, Clinical and Real World Evidence · AbbVie $211,000/yr – $400,500/yr
Peer group range $129,800 – $305,750 (median $180,500)

Where these roles are based

Top locations among the 98 comparable roles

United States70
Germany5
Japan4
India3
United Kingdom3
China2

+ 7 more countries

Seniority mix

98 of 98 peers have a known seniority level

Senior42
Principal36
Director20

Therapeutic area mix

10 of 98 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden

Oncology8
Rare Disease1
Immunology1

Similar opportunities

The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.

75%similar
Chiesi Farmaceutici Boston, United States Director
Same function Same therapeutic area Adjacent seniority
60%similar
GSK Vaccines Institute for Global Health S.r.l. Siena, Italy Principal
Same function Same seniority Same country
45%similar
Lilly Indianapolis, Indiana, United States of America Principal
Same function Same seniority
45%similar
Merck Rahway, New Jersey, United States of America Principal
Same function Same seniority
45%similar
Merck Rahway, New Jersey, United States of America Principal
Same function Same seniority

Notify me about similar jobs

Get an email when we spot other openings like this one – same job function, comparable seniority, roles you'd actually want to see.

How we calculate "similar"

No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.

Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.

75%
Director, Real World Evidence, Global Rare Diseases - HIDO (Boston, MA, US)
Chiesi Farmaceutici · Boston, United States · Director
Function Therapeutic area Adjacent seniority Country
45%
<研究開発・メディカルアフェアーズ統括本部>/Japan Data Sciences - Data Strategist Lead/Scientist/ Senior Scientist / Principal Scientist/ Sr. Principal Scientist/神戸本社・東京支社
Lilly · Hyogo, Japan · Principal
Function Therapeutic area Seniority Country
45%
Associate Principal Scientist, Statistical Programming
Merck · Rahway, New Jersey, United States of America · Principal
Function Therapeutic area Seniority Country
45%
Principal Clinical Data Scientist II (Shanghai, China)
Boehringer Ingelheim · Shanghai, China · Principal
Function Therapeutic area Seniority Country
Unmatched or unknown dimensions score exactly the same: 0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.