Cindy Molitor Email & Phone Number

Kirkland, Wa, Us

Kirkland, Wa, Us

Seattle, Wa, Us

Work with scientific and analytic collaborators to define analysis and data requirements. Manage and process multifarious types of study data. Develop software processes and pipelines for data management, data processing, and analysis. Generate data visualizations and reports of analysis results. Software development for long-term data management, analysis, and infrastructure projects. Contribute to scientific papers.• Wrote a Python tool to calculate peptide coverage of viral insert sequences used in vaccines that decreased reporting time to laboratories.• Wrote Python tools to create position maps for peptides in reference to sequences, and sequences in reference to reference sequences.• Used Python to generate datasets per specifications for use in sieve analyses for four study papers submitted for publication.• Used R and RStudio to generate figures used in presentations and research papers.• Wrote a Python tool to generate peptides of user-designated length and overlap from a sequence, and compares the peptides against peptides generated from a reference sequence to find new ones.• Wrote Python scripts utilizing the Pysam and PyVCF modules to extract data from BAM and VCF files in order to create datasets for statistical analysis.• Used the SeaView graphical multiple sequence alignment editor to hand-align small gene alignment files.• Researched and compiled Python coding standards for the Bioinformatics group based on the PEP 8 Python Style Guide.

Dublin, Ie

Wrote custom SAS report programs for clinical trials utilizing the Prism clinical data collection system. Created template programs to transfer data from Prism to SAS.• Wrote three report programs in Perl for the Prism EDC system, utilizing the Prism APIs to access data in Postgres.• Made modifications in the SAS standard reports using SAS macro variables and bash shell variables that reduced report set-up from 4+ hours to 1 hour.

Seattle, Washington, Us

Collaborated with internal scientists to develop metadata management systems and standards. Summarized collected data. Ensured and oversaw data quality, promoting consistent data structures and standards in adherence with required specification. Managed access requests from external data consumers. Summarized data intake and present results to key organization stakeholders.• Performed verification of manifest data for brain research consortium prior to uploading to National Institute of Mental Health (NIMH) Data Archive. Provide user support for 10 consortium members.• Coordinated with internal governance and technical teams to respond to data sharing issues in light of European Union’s General Data Protection Regulation (GDPR).• Wrote 7+ tools in Python utilizing APIs to efficiently access data resources on AWS, allowing verification of genomics metadata and tracking of data submissions.• Served on 10-member team committed to harmonizing metadata standards.• Developed Python program using JSON validation schemas to perform Quality Control (QC) checks on clinical demographics, biospecimen, assay files, and JSON annotations schemas.• Automated data entry template production by writing 2 Python programs to generate metadata templates and dictionaries in Excel and comma-separated text formats.• Automated subject data management by writing Python programs to generate new subject records and perform comparisons and checks with current subject records.

Seattle, Wa, Us

Managed laboratory immunogenicity data flows for vaccine trials for HIV, Ebola, and malaria. Designed metadata datasets and tools to required specification. Generated data consistency checks in SAS and Python for non-CRF laboratory assay data for vaccine trials. Served as subject matter expert on flow cytometry, HLA typing, HIV diagnostics, and retroviral load assay data processing. Led effort and worked in collaboration with biostatisticians to develop and enforce data naming and type standards.• Automated laboratory data pipeline flow from lab to statistician by designing, implementing, and maintaining SAS and Python systems.• Performed as liaison between study team members and external laboratory personnel from 6+ laboratories to develop data transfer formats and ensure timely issue resolution.• Achieved easy data access for non-programming staff.• Led redesign of Laboratory Data Operations directory structure to facilitate version control.• Increased data format flexibility by developing 3 Python programs with goal of extracting viral resistance data from XML files and single-nucleotide polymorphism data from Excel workbooks.• Boosted Computational Biology group productivity by writing Python programs using Biopython to process and manipulate viral sequence data.

Seattle, Wa, Us

Performed data management tasks for HIV prevention trials. Ensured quality of CRF data by writing data consistency checks in SAS. Acted as Clinical Data Programming subject matter expert. Conducted ad-hoc clinical reporting as requested by study team members.• Worked with study team members to design CRFs for ~8 HIV prevention clinical trials.• Collaborated with clinical coding group to update MedDRA coding dictionary 2x per year.• Introduced the practice of using SAS inclusion files containing standard macros and libname definitions.• Pioneered practice of maintaining QC exclusions in datasets rather than code.

• Contributed to FDA regulatory submissions by programming biopharmaceutical clinical trial data listings.• Coordinated receipt and processing of non-CRF data from outside vendors and collaborators.• Wrote SAS/Access programs to transfer study data from Oracle clinical data collection system into SAS datasets.

• Programmed tables, figures, and listings (TFLs) of data collected during the course of clinical trials for a rheumatoid arthritis drug.• Wrote data consistency checks in SAS.• Made modifications to data consistency checks in Oracle PL/SQL.

• Designed CRFs for clinical trials for a cardiac drug.• Designed the Oracle database and data entry screens for clinical trials using DLB Recorder software.• Wrote data consistency checks in Oracle PL/SQL.• Wrote data listings in SAS for submission to the U.S. Food and Drug Administration (FDA).• Wrote a suite of programs in SAS to convert ASCII files into a standard format used by Procter & Gamble for data loading into Oracle database tables.

• Wrote summary and statistical reports for data gathered during clinical studies of surgical devices for submission to the FDA.• Acted as the main point of contact between Ethicon’s clinical group and a software vendor whose product produced reports taken from the Oracle databases created by Clintrial data management software.• Investigated and made recommendations for SAS products that I felt would be useful for our applications.• Worked with the HP-UX system administrator to install software products.

• Programmed server-side routines in Unix and Informix ESQL/C for a pharmacy patient notification system.

• Supported and upgraded an imaging system used for storing and entering clinical trial reporting data.• Wrote routines in Informix ESQL/C and Plexus Application Developer to interface with an optical character recognition engine and to implement automated workflow software.

• Programmed ad-hoc SAS reports used by brand managers and assistant brand managers for pharmaceutical sales/marketing business analysis.

• Updated data standards on several completed cardiac drug studies.• Transferred data from HP3000 Turbo-Image databases into Oracle databases on an HP9000.

• Cleaned pharmaceutical customer name and address data for insertion into a data warehouse.

• Programmed ad-hoc SAS reports used by brand managers and assistant brand managers for pharmaceutical sales/marketing business analysis. • Rewrote several quarterly business analysis reports to increase the efficiency of program run-time.• Received a Keane K-Pin award for performance due to unsolicited positive client feedback.

• Writing data consistency checks in Oracle PL/SQL to verify data collected for clinical trials of a cardiac drug.• Wrote data listings in SAS for submission to the U.S. Food and Drug Administration (FDA).

• Developed an automatic result faxing system in C, SAS, DOS, and UNIX.• Developed several data entry applications in SAS/AF and SAS/FSP.• Performed system administration duties for HP9000 systems.• Performed software and hardware troubleshooting on IBM PCs and compatibles.