At Koneksa, we are focused on technology innovation – developing digital biomarkers and novel endpoints to improve clinical research and drug development. We help drug development organizations and research hospitals collecting data using wearable devices and other digital tools. We develop endpoints based on wearable and outcome data to support deployment of various digital measures, including but not limited to actigraphy devices, biopotentials, device-based functional assessments, and electronic questionnaires. 

Koneksa’s software platform is used to integrate, manage and analyze certain types of ‘real world’ data that are gathered from patients who participate in clinical studies. This includes data that can be reported by patients using a mobile device such as iphone, apple watch or gathered from other types of medical devices that can be used remotely to collect important data such as activity, sleep, lung function or vital signs.

As a Senior Statistician, you will work closely with internal and external stakeholders and utilize data enabled by technology such as wearable devices, app-based assessments and patient reported outcomes or questionnaires. You will be responsible for providing statistical expertise to support clinical studies and data management, throughout the project life cycle. You will be expected to strategically contribute to project go/no-go decisions with a focus on study design, analysis, and proper interpretation and presentation of results, including contributing towards peer-reviewed publications.

This role will be part of the Biostatistics team reporting to the Manager of Biostatistics.

Responsibilities

• Contribute to the design of clinical studies

• Generate statistical analysis plans (SAP)

• Execute SAPs and data visualizations

• Create reports, summarizing the findings of analysis

• Contribute to peer-reviewed scientific publications and presentations

• Communicate findings verbally and/or in writing

• Represent Koneksa at conferences, presenting analysis

• PhD in statistics or similar mathematical discipline

• 3+ years experience in an industry role focused on statistics and/or data science

• Proficient in your choice of R and/or Python programming language(s)

• Excellent written and verbal communication skills with people of different background and job functions

• Highly organized with a keen attention to detail

• Ability to prioritize and multitask across several projects

• Curiosity and a voracious appetite to learn

Benefits

• Competitive salary
• Stock option scheme eligibility
• 100% covered employee healthcare. 50% dependent covered healthcare
• Employer 401(k) matching
• Choice of computer equipment

Koneksa Health, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, Koneksa Health Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.