A research assistant position is available at Dr. Kong’s group in the Computational Health Informatics Program at Boston Children’s Hospital, Boston, MA, USA. The group seeks to improve current clinical practices by providing expertise and insight from large­-scale and multi-­dimensional analysis in data­-sets from patients with neurodevelopmental conditions and other disorders.

 

The position is available for a motivated individual with expertise in data management and statistical analysis to provide insights from diverse multi­dimensional datasets in different frameworks, involving genotypes, diseases phenotypes and metabolomics.

 

PRIMARY DUTIES AND RESPONSIBILITIES:

 

  • Manage high-dimensional datasets.
  • Apply statistical methods for exploratory analysis to understand the association within and between different datasets.
  • Ensure accurate and statistically valid deliverables, including drafting statistical analysis plans and participating in writing study reports and manuscripts.
  • Work independently on multiple ongoing projects with flexibility to adjust to new priorities.
  • Manage projects for integrity of data generation and ingestion.
  • Present the work in form of scientific publications and oral communications to the scientific community.

 

The group is located at Landmark Center, belonging to Boston Children’s Hospital, a teaching hospital affiliated with Harvard University. 

Qualifications
  • Proficiency with data management and analysis in R and database is required, experience with python and shell scripting is desirable.
  • Ability to organize datasets and connect them using matching ID as well as prepare them for downstream statistical analysis.
  • Familiarity with modern data analysis paradigms is required.
  • Strong communication skills and ability to effectively translate scientific concepts to multidisciplinary personnel.
  • Highly proficient in spoken and written English and professional communication.
  • Self-motivation to learn biological knowledge, statistical methods and visualization tools based on the need of the research projects.
How to apply

Interested applicants should send a cover letter outlining research experience, skills and interests, curriculum vitae (CV), and the names and contacts of two referees to Dr. Sek Won Kong (sekwon.kong@childrens.harvard.edu).

Publications

Morales A, Ing A, Antolik C, Austin-Tse C, Baudhuin LM, Bronicki L, Cirino A, Hawley MH, Fietz M, Garcia J, Ho C, Ingles J, Jarinova O, Johnston T, Kelly MA, Kurtz CL, Lebo M, Macaya D, Mahanta L, Maleszewski J, Manrai AK, Murray M, Richard G, Semsarian C, Thomson KL, Winder T, Ware JS, Hershberger RE, Funke BH, Vatta M, . Harmonizing the Collection of Clinical Data on Genetic Testing Requisition Forms to Enhance Variant Interpretation in Hypertrophic Cardiomyopathy (HCM): A Study from the ClinGen Cardiomyopathy Variant Curation Expert Panel. The Journal of molecular diagnostics : JMD 2021.

Kohane IS, Aronow BJ, Avillach P, Beaulieu-Jones BK, Bellazzi R, Bradford RL, Brat GA, Cannataro M, Cimino JJ, García-Barrio N, Gehlenborg N, Ghassemi M, Gutiérrez-Sacristán A, Hanauer DA, Holmes JH, Hong C, Klann JG, Loh NHW, Luo Y, Mandl KD, Mohamad D, Moore JH, Murphy SN, Neuraz A, Ngiam KY, Omenn GS, Palmer N, Patel LP, Pedrera-Jiménez M, Sliz P, South AM, Tan ALM, Taylor DM, Taylor BW, Torti C, Vallejos AK, Wagholikar KB, Weber GM, Cai T. What Every Reader Should Know About Studies Using Electronic Health Record Data but May be Afraid to Ask. Journal of medical Internet research 2021.

Cutillo CM, Sharma KR, Foschini L, Kundu S, Mackintosh M, Mandl KD, . Machine intelligence in healthcare-perspectives on trustworthiness, explainability, usability, and transparency. NPJ digital medicine 2020.

Brat GA, Weber GM, Gehlenborg N, Avillach P, Palmer NP, Chiovato L, Cimino J, Waitman LR, Omenn GS, Malovini A, Moore JH, Beaulieu-Jones BK, Tibollo V, Murphy SN, Yi SL, Keller MS, Bellazzi R, Hanauer DA, Serret-Larmande A, Gutierrez-Sacristan A, Holmes JJ, Bell DS, Mandl KD, Follett RW, Klann JG, Murad DA, Scudeller L, Bucalo M, Kirchoff K, Craig J, Obeid J, Jouhet V, Griffier R, Cossin S, Moal B, Patel LP, Bellasi A, Prokosch HU, Kraska D, Sliz P, Tan ALM, Ngiam KY, Zambelli A, Mowery DL, Schiver E, Devkota B, Bradford RL, Daniar M, Daniel C, Benoit V, Bey R, Paris N, Serre P, Orlova N, Dubiel J, Hilka M, Jannot AS, Breant S, Leblanc J, Griffon N, Burgun A, Bernaux M, Sandrin A, Salamanca E, Cormont S, Ganslandt T, Gradinger T, Champ J, Boeker M, Martel P, Esteve L, Gramfort A, Grisel O, Leprovost D, Moreau T, Varoquaux G, Vie JJ, Wassermann D, Mensch A, Caucheteux C, Haverkamp C, Lemaitre G, Bosari S, Krantz ID, South A, Cai T, Kohane IS. International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium. NPJ digital medicine 2020.