In Silico Medicine

A startup bioinformatics company focusing on drug discovery for cancer, age-related diseases and aging itself, In Silico Medicine (www.insilicomedicine.com) is looking for an expert in bioinformatics with leadership skills and management potential. The expert will report to the CEO and assume many top management responsibilities in this entrepreneurial role. Within twelve months we expect the expert to manage a large team of bioinformatics professionals in Baltimore and other cities.

You will assume a senior management position with a broad range of responsibilities including:
- working closely with the research and development team of our partner, Pathway Pharmaceuticals, the developer of the OncofFnder and GeroScope tools for personalized medicine;
- establishing collaborations and signing research agreements with the top academic institutions and companies with collections of human transcriptome and RNAseq data;
- maintaining the research progress reports;
- helping manage the office operations;
- collaborate on research articles (there should be many);
- attend and present at conferences;

You will be one of the first members of the In Silico Medicine team with a very steep learning curve and a broad range of responsibilities.

Base compensation:
- Competitive startup salary, significant options package with rapid vesting, travel allowance.
- At this time we can not offer insurance/medical benefits.

Required skills:
- Human transcriptome and RNAseq analysis
- Signaling pathway analysis (experience using either Ingenuity IPA, GeneGo Metacore, Ariadne Genomics or other popular packages)
- Experience working with major drug and compound databases
- Programming skills: Python, MySQL
- Ability to work independently

Preferred:
- close contacts with research groups within major research and clinical institutions in BWI area
- comfortable with Ubuntu, Mac and Windows
- knowledge of the machine learning algorithms
- some experience with C/C++, Java

Education:
- Masters in the relevant area
- PhD degree is preferred

Before applying, please take a look at the following publications:
1. http://journal.frontiersin.org/Journal/10.3389/fgene.2014.00049/full
2. http://journal.frontiersin.org/Journal/10.3389/fgene.2014.00055/abstract (see provisional PDF)

In Silico Medicine is in love with Baltimore and would like to participate in revitalizing the city. We are planning to move our offices into the downtown area close to the JHMI.

About In Silico Medicine:
Through excellence in knowledge management, machine learning and bioinformatics, relentless pursuit for new drug, omics and clinical outcomes data, development of reliable in silico drug screening methods, novel validation approaches and strong international partnerships in personalized medicine we strive to find real working solutions to cure and prevent age-related diseases and aging itself.

This mission will be achieved within within the regulatory frameworks as well as the legal and ethical boundaries and by working with the outstanding scientists, academic and medical institutions and pharmaceutical companies of impeccable credibility.

Our goals are:
1. to become the first and the largest drug discovery company in aging and age-related diseases with practical results;
2. to become the first company to fully implement the concept of personalized science, where medicine is developed, tested and validated for individual patients in a safe high-throughput environment;

Some of our near-term milestones are:
- to develop and validate a set of geroprotecotrs, drugs and therapeutic protocols with aging-suppressive or regenerative properties;
- to validate and improve Geroscope, a system for in silico geroprotector discovery;
- to use Geroscope on a large list of possible geroprotectors to rank them by the predicted efficacy and validate using human cells and on model organisms;
- to develop the most comprehensive scalable drug knowledge management system of annotated drugs, small molecules, biologics and all other factors that may influence the many events on the molecular, cellular and tissue levels;
- to use use our expertise in targeted drug selection based on individual patient's gene expression data and signaling cloud regulation for drug discovery;
- to partner with the top pharmaceutical companies to help analyze their drug databases, lead compounds and to enable them to accurately predict the efficacy of their drugs on patient groups and individual patients;

Please send your resume' or inquiry to:
In Silico Medicine, Inc
www.insilicomedicine.com
fightaging(at)insilicomedicine.com