Biostatistician

Amadix is a biotech company, developing and commercializing innovative diagnostic tests for cancer, which impact patient survival and quality of life. 

We are seeking a Biostatistician at our Madrid or Valladolid offices (Spain), who will be responsible for providing support on biostatistics methods and quantitative analysis applied to all the projects of the company. 

Responsibilities:

• Collaborate with investigators to determine clinical study design, contribute to protocol development through sample size calculation 
• Performs statistical analysis and analytical support for research using large administrative datasets among other various data sources
• Provide statistical input and review of statistical deliverables (i.e. analysis plans, table shells, programming and table specifications, data review, tables, listings, figures and statistical sections for integrated reports) and data management deliverables (i.e. database design, validation checks and critical data). 
• Develops systems for monitoring the quality of different datasets.
• Ensures high-quality statistical support is provided for investigational studies, projects, registries and basic research using advanced statistical skills and knowledge of clinical research. 
• Algorithm development  for diagnosis purposes
• Confirming that documentation of computer programs and analyses are complete 
• Writes and presents reports summarizing findings including contributions to publications in peer-reviewed journals. 
• Writing abstracts, presentations, reports, and manuscripts 
• Providing business development support to the Amadix team in collaboration with other colleagues of the company. 

Education & Experience:

• Degree in Biostatistics, Mathematics or equivalent with at least 5 years of statistician work experience. 
• Experience working with biological laboratory data technologies (RT-qPCR, ELISA/CLIA, …). Specifically experience with micro-RNAs data will be valuable.
• Thorough understanding of statistical issues in both clinical trials and observational studies
• Proficient in R, and experience in other statistical software (STATA, SAS or SPSS) is desirable. 
• Experience in data analysis of large healthcare databases and observational studies 
• Familiarity with moderately complex and some complex statistical methods that apply to late phase studies 
• Demonstrates proficiency with statistical methods and applications in clinical research. 
• Experience and knowledge of IVD development and statistical evaluation of diagnostic tests will be desirable.
• Fluency in English in verbal and written form (bilingual). 
• Strong computer and office skills. 

Required Knowledge, Skills and Abilities:

• Expertise in data analysis/interpretation is essential with particular emphasis on diagnostic/predictive model building.
• Descriptive analysis skills and applying modern statistical methods in modeling of data required. Experience with combining multiple omics datasets, bioinformatics expertise and database design is preferred.
• Excellent collaboration skills and demonstrated ability to work collaboratively
• Excellent written and oral communication skills including grammatical/technical writing skills, and demonstrated ability to effectively communicate on complex topics, even to non-technical audiences
• Excellent attention and accuracy with details  and strong commitment to quality
• Strong individual initiative 
• Ability to effectively manage multiple tasks and projects 
• Ability to establish and maintain effective working relationships with co-workers and managers.
• Ability to critically review data. 
• Strong skills in organizing, planning, problem solving. 
• Ability to interact effectively with all levels of the organization, both internally and externally.